Risk, Reliability, and Resilience Engineering

Publications

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• Listing in reverse chronological order (newest to oldest)

  a. Books Only

  2. Haldar, A., and Mahadevan, S., “Probability, Reliability, and Statistical Methods in Engineering Design,” John Wiley & Sons, 2000.

  1. Haldar, A., and Mahadevan, S., “Reliability Assessment Using the Stochastic Finite Element Method,” John Wiley & Sons, 2000.

   

  b. Journal Articles Only

  376. Stover, Oliver, et al. "Dependence structure learning and joint probabilistic forecasting of stochastic power grid variables." Applied Energy 357 (2024): 122438.

  375. Du, Dongjin, Pranav Karve, and Sankaran Mahadevan. "Calibration, validation, and selection of hydrostatic testing-based remaining useful life prediction models for polyethylene pipes."  International Journal of Pressure Vessels and Piping  (2023): 105108.

  374. Kong, Yingxiao, and Sankaran Mahadevan. "Identifying Anomalous Behavior in Aircraft Landing Trajectory Using a Bayesian Autoencoder." Journal of Aerospace Information Systems (2023): 1-9.

  373. Stover, Oliver, Pranav Karve, and Sankaran Mahadevan. "Global Sensitivity Analysis-Based Dimension Reduction for Stochastic Unit Commitment." IEEE Transactions on Power Systems (2023).

  372. Miele, S., P. Karve, and S. Mahadevan. "Multi-fidelity physics-informed machine learning for probabilistic damage diagnosis." Reliability Engineering & System Safety 235 (2023): 109243.

  371. Guo, Yulin, et al. "Investigation of Surrogate Modeling Options with High-Dimensional Input and Output." AIAA Journal 61.3 (2023): 1334-1348.

  370. Stover, Oliver, Pranav Karve, and Sankaran Mahadevan. "Reliability and risk metrics to assess operational adequacy and flexibility of power grids." Reliability Engineering & System Safety 231 (2023): 109018.

  369. Subramanian, Abhinav, and Sankaran Mahadevan. "Probabilistic physics-informed machine learning for dynamic systems." Reliability Engineering & System Safety 230 (2023): 108899.

  368. Kapusuzoglu, Berkcan, et al. "Multi-Level Bayesian Calibration of a Multi-Component Dynamic System Model." Journal of Computing and Information Science in Engineering 23.1 (2023): 011006.

  367. White, Andrew, and Sankaran Mahadevan. "Discrepancy modeling for model calibration with multivariate output." International Journal for Uncertainty Quantification 13.6 (2023).

  366. Subramanian, Abhinav, and Sankaran Mahadevan. "Importance sampling for reliability assessment of dynamic systems under general random process excitation." Probabilistic Engineering Mechanics 71 (2023): 103385.

  365. Thelen, Adam, et al. "A comprehensive review of digital twin—part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives." Structural and multidisciplinary optimization 66.1 (2023): 1.

  364. Subramanian, Abhinav, and Sankaran Mahadevan. "Non-intrusive estimation of model error and discrepancy in dynamics models." Journal of Computational Physics 471 (2022): 111617.

  363. Acar, Pinar, et al. "Uncertainty quantification in characterization, modelling, and design of materials." Frontiers in Materials 9 (2022): 1111499.

  362. White, Andrew, et al. "Multi-metric validation under uncertainty for multivariate model outputs and limited measurements." Journal of Verification, Validation and Uncertainty Quantification 7.4 (2022): 041004.

  361. Thelen, Adam, et al. "A comprehensive review of digital twin—part 1: modeling and twinning enabling technologies." Structural and Multidisciplinary Optimization 65.12 (2022): 354.

  360. Sisson, William, Pranav Karve, and Sankaran Mahadevan. "Digital twin for component health-and stress-aware rotorcraft flight control." Structural and Multidisciplinary Optimization 65.11 (2022): 318.

  359. Zhang, Xiaoge, Sanqiang Zhong, and Sankaran Mahadevan. "Airport surface movement prediction and safety assessment with spatial–temporal graph convolutional neural network." Transportation research part C: emerging technologies 144 (2022): 103873.

  358. Kapusuzoglu, Berkcan, et al. "Adaptive surrogate modeling for high-dimensional spatio-temporal output." Structural and Multidisciplinary Optimization 65.10 (2022): 300.

  357. Nath, Paromita, and Sankaran Mahadevan. "Probabilistic digital twin for additive manufacturing process design and control." Journal of Mechanical Design 144.9 (2022): 091704.

  356. Miele, S., Karve, P. M., & Mahadevan, S., "Diagnosis of internal cracks in concrete using vibro-acoustic modulation and machine learning," Reliability Engineering & System Safety, Vol. 235, 109243, July 2023

  355. Stover, O., Karve, P., & Mahadevan, S., "Reliability and risk metrics to assess operational adequacy and flexibility of power grids," Reliability Engineering & System Safety, Volume 231, 2023

  354. Guo, Y., Mahadevan, S., Matsumoto, S., Taba, S., & Watanabe, D., "Investigation of Surrogate Modeling Options with High-Dimensional Input and Output," AIAA Journal, Vol. 61, No. 3 (2023), pp. 1334-1348

  353. Subramanian, A., & Mahadevan, S., "Importance sampling for reliability assessment of dynamic systems under general random process excitation," Probabilistic Engineering Mechanics, Volume 71, p103385, 2023

  352. Subramanian, A., & Mahadevan, S., "Non-intrusive estimation of model error and discrepancy in dynamics models," Journal of Computational Physics, Volume 471, p.111617, 2022.

  351. Sisson, W., Karve P., & Mahadevan, S., "Digital twin for component health- and stress-aware rotorcraft flight control," Structural and Multidisciplinary Optimization 65, 318, 2022

  350. Zhang, X., Zhong, S., & Mahadevan, S., "Airport surface movement prediction and safety assessment with spatial–temporal graph convolutional neural network," Transportation Research Part C: Emerging Technologies, 144, 103873, 2022

  349. Subramanian, A., & Mahadevan, S., "Probabilistic physics-informed machine learning for dynamic systems," Reliability Engineering & System Safety, 108899, 2022

  348. Kapusuzoglu, B., Mahadevan, S., Matsumoto, S., Miyagi, Y., & Watanabe, D., "Adaptive surrogate modeling for high-dimensional spatio-temporal output," Structural and Multidisciplinary Optimization, 65(10), 1-20, 2022

  347. Kapusuzoglu, B., Mahadevan, S., Matsumoto, S., Miyagi, Y., & Watanabe, D., "Multi-Level Bayesian Calibration of a Multi-Component Dynamic System Model ," Journal of Computing and Information Science in Engineering, 23(1), 011006, 2022

  346. Bao, Y., & Mahadevan, S., "Diagnosis of interior damage with a convolutional neural network using simulation and measurement data," Structural Health Monitoring,  21 (5), 2312-2328,  2022

  345. Subramanian, A., & Mahadevan, S., "Identifying transient and persistent errors in aircraft cruise trajectory prediction using Bayesian state estimation," Transportation Research Part C: Emerging Technologies, 139, 103665, 2022

  344. Nath, P., & Mahadevan, S., "Probabilistic Digital Twin for Additive Manufacturing Process Design and Control," Journal of Mechanical Design, 2022.

  343. Nath, P., Sato, M., Karve, P. and Mahadevan, S., "Multi-fidelity Modeling for Uncertainty Quantification in Laser Powder Bed Fusion Additive Manufacturing," Integrating Materials and Manufacturing Innovation, pp.1-20, 2022

  342. Kong, Y., Zhang, X., and Mahadevan, S., "Bayesian Deep Learning for Aircraft Hard Landing Safety Assessment," IEEE Transactions on Intelligent Transportation Systems, 2022.

  341. Kong, Y. and Mahadevan, S., "Aircraft Landing Distance Prediction: A Multistep Long Short-Term Memory Approach." Journal of Aerospace Information Systems, 2022.

  340. Bhattacharyya, R., & Mahadevan, S., "Calibration and Validation of Multiscale Model for Ultimate Strength Prediction of Composite Laminates Under Uncertainty," ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, Volume 8, Issue 2, 2022.

  339. Hu, Z., Nannapaneni, S., & Mahadevan, S., "Special Issue on Uncertainty Quantification and Management in Additive Manufacturing," ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, Volume 8, Issus 1, 2022.

  338. Kapusuzoglu, B., Nath, P., Sato, M., Mahadevan, S., & Witherell, P., "Multi-Objective Optimization Under Uncertainty of Part Quality in Fused Filament Fabrication," ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, Volume 8, Issue 1, 2022.

  337. Mahadevan, S., Nath, P., & Hu, Z., "Uncertainty Quantification for Additive Manufacturing Process Improvement: Recent Advances," ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, Volume 8, Issue 1, 2022.

  336. VanDerHorn, E., Wang, Z., & Mahadevan, S., "Towards a digital twin approach for vessel-specific fatigue damage monitoring and prognosis," Reliability Engineering & System Safety, Vol. 219, 2022.

  335. Subramanian, A., & Mahadevan, S., "Variance-based sensitivity analysis of dynamic systems with both input and model uncertainty," Mechanical Systems and Signal Processing, Vol. 166, 2022.

  334. Subramanian, A., & Mahadevan, S., "Importance sampling for probabilistic prognosis of sector-wide flight separation safety," Reliability Engineering & System Safety, Vol. 222, 2022.

  333. Zhang, X., Chan, F. T., & Mahadevan, S., "Explainable machine learning in image classification models: An uncertainty quantification perspective," Knowledge-Based Systems, 2022.

  332. Bhattacharyya, R., Mahadevan, S., & Basu, P. K., "Computationally efficient multiscale modeling for probabilistic analysis of CFRP composites with micro-scale spatial randomness," Composite Structures, Vol. 280, 2022.

  331. Miele, S., Karve, P. M., Mahadevan, S., & Agarwal, V., "Diagnosis of internal cracks in concrete using vibro-acoustic modulation and machine learning," Structural Health Monitoring, 2022.

  330. Sisson, W., Karve, P., & Mahadevan, S., "Digital Twin Approach for Component Health-Informed Rotorcraft Flight Parameter Optimization," AIAA Journal, Vol. 60, No. 3, 2022.

  330. Stover, O., & Mahadevan, S., "Data-Driven Modeling of Aircraft Midair Separation Violation," IEEE Transactions on Intelligent Transportation Systems, 2021.

  329. Bao, Y., & Mahadevan, S., "Diagnosis of interior damage with a convolutional neural network using simulation and measurement data," Structural Health Monitoring, 2021.

  328. Subramanian, A., & Mahadevan, S., "Model error propagation from experimental to prediction configuration," Journal of Computational Physics, Vol. 443, 2021.

  327. Zhang, X., Srinivasan, P., & Mahadevan, S., "Sequential deep learning from NTSB reports for aviation safety prognosis,"  Safety science , Vol. 142 , 2021.

  326. Kapusuzoglu, B., & Mahadevan, S., "Information fusion and machine learning for sensitivity analysis using physics knowledge and experimental data," Reliability Engineering & System Safety, Vol. 214, 2021 .

  325. Nath, P., & Mahadevan, S., "Probabilistic predictive control of porosity in laser powder bed fusion," Journal of Intelligent Manufacturing, 2021.

  324. Nash, C., Karve, P., Adams, D., & Mahadevan, S., "Flaw Detection and Localization in Curing Fiber-Reinforced Polymer Composites Using Infrared Thermography and Kalman Filtering: A Simulation Study," Journal of Nondestructive Evaluation, 40(3), 2021.

  323. Sisson, W., Mahadevan, S., & Smarslok, B. P., "Optimization of Information Gain in Multifidelity High-Speed Pressure Predictions," AIAA Journal, Vol.59, No. 8, 2021.

  322. Nannapaneni, S., Mahadevan, S., Dubey, A., & Lee, Y. T. T., "Online monitoring and control of a cyber-physical manufacturing process under uncertainty," Journal of intelligent manufacturing, 2021.

  321. Zhang, X., & Mahadevan S., "Bayesian network modeling of accident investigation reports for aviation safety assessment," Reliability Engineering & System Safety, Vol.209, 2021.

  320. Neal, K., Schroeder, B., Mullins, J., Subramanian, A., Mahadevan, S., "Robust Importance Sampling for Bayesian Model Calibration with Spatio-Temporal Data," International Journal of Uncertainty Quantification, 2021.

  319. VanDerHorn, E., & Mahadevan, S., " Digital Twin: Generalization, characterization and implementation ," Decision Support Systems, 145, 2021.

  318. White , A.,  Mahadevan , S.,  Grey , Z.,  Schmucker , J., &  Karl, A., "Efficient Calibration of a Turbine Disc Heat Transfer Model Under Uncertainty," Journal of Thermophysics and Heat Transfer, 2020.

  317. Kapusuzoglu, B. & Mahadevan, S., " Physics-Informed and Hybrid Machine Learning in Additive Manufacturing: Application to Fused Filament Fabrication," Journal of the Materials, Metals and Minerals Society (JOM), 2020. 

  316. Kapusuzoglu, B., Sato, M., Mahadevan, S., & Witherell, P., " Process Optimization under Uncertainty for Improving the Bond Quality of Polymer Filaments in Fused Filament Fabrication," ASME Journal of Manufacturing Science and Engineering, 2020.

  315. Nash, C., Karve, P., Adams, D., Mahadevan, S., & Thorne, G., "Real-Time Cure Monitoring of Fiber-reinforced Polymer Composites using Infrared Thermography and Recursive Bayesian Filtering," Composites Part B: Engineering, 2020.

  314. Nannapaneni, S., Mahadevan, S., Dubey, A., & Lee. Y. T. T., "Online monitoring and control of a cyber-physical manufacturing process under uncertainty," Journal of Intelligent Manufacturing, 2020.

  313. Nath, P., Olson, J. D., Mahadevan, S., & Lee, Y. T. T., "Optimization of fused filament fabrication process parameters under uncertainty to maximize part geometry accuracy," Additive Manufacturing, Vol. 35, 2020.

  312. Zhang, X., Hu, Z., & Mahadevan, S, "Bilevel Optimization Model for Resilient Configuration of Logistics Service Centers," IEEE Transactions on Reliability, 2020.

  311. Nannapaneni, S. & Mahadevan, S, "Probability-space surrogate modeling for fast multidisciplinary optimization under uncertainty," Reliability Engineering & System Safety, Vol. 198, 2020.

  310. Vohra, M., Nath, P., Mahadevan, S., & Lee, Y. T. T., "Fast surrogate modeling using dimensionality reduction in model inputs and field output: Application to additive manufacturing," Reliability Engineering & System Safety, Vol. 201, 2020.

  309. Subramanian, A. & Mahadevan, S, " Model Error Propagation in Coupled Multiphysics Systems," AIAA Journal, Vol.  58, No.  5, pp 2236-2245, 2020.

  308. Zhang, X. & Mahadevan, S, "Bayesian neural networks for flight trajectory prediction and safety assessment," Decision Support Systems, Vol. 131, 2020.

  307. Karve, P. &   Mahadevan, S ., " On the performance of vibro‐acoustic‐modulation‐based diagnosis of breathing cracks in thick, elastic slabs,"  Structural Control Health Monitoring, Vol.  27, No. 3, 2020.

  306. Karve, P., Miele, S., Neal, K., Mahadevan, S., Agarwal, V., Giannini, E. R., & Kyslinger, P., "Vibro-acoustic modulation and data fusion for localizing alkali–silica reaction–induced damage in concrete," Structural Health Monitoring, 2020.

  305. Karve, P. M., Guo, Y., Kapusuzoglu, B., Mahadevan, S., & Haile, M. A., "Digital twin approach for damage-tolerant mission planning under uncertainty," Engineering Fracture Mechanics, Vol. 225, 2020.

  304. Absi, G. N. & Mahadevan, S, "Simulation and Sensor Optimization for Multifidelity Dynamics Model Calibration," AIAA Journal, Vol. 58, No.  2, pp 879-888, 2020.

  303. Zhang, X., Mahadevan, S., Lau, M., & Weinger, M. B., "Multi-source information fusion to assess control room operator performance," Reliability Engineering & System Safety, Vol. 194, 2020.

  302. Hu, Z. &  Mahadevan, S., " Reliability Analysis of a Hypersonic Vehicle Panel with Spatio-Temporal Variability," AIAA Journal, Vol.  57, No.  12, pp 5403-5415, 2019.

  301. Bao, Y., & Mahadevan, S., "Harmonic vibration testing for damage detection and localization in concrete," Structural Health Monitoring, Vol. 18, No. 5–6, pp 1820–1835, 2019.

  300. Subramanian, A. & Mahadevan, S, "Error estimation in coupled multi-physics models," Journal of Computational Physics, Vol. 395, pp 19-37, 2019.

  299. Su, X., Li, L., Qian, H., Mahadevan, S., & Deng, Y., "A new rule to combine dependent bodies of evidence," Soft Computing, Vol. 23, pp 9793–9799, 2019. 

  298. Zhang, X., Mahadevan, S., & Goebel, K., "Network Reconfiguration for Increasing Transportation System Resilience Under Extreme Events," Risk Analysis, Vol. 39, No. 9, pp 2054-2075, 2019.

  297. Wang, Z., Liu, P., Ji, Y., Mahadevan, S., Horstemeyer, M. F., Hu, Z., Chen, L., & Chen L. Q., "Uncertainty Quantification in Metallic Additive Manufacturing Through Physics-Informed Data-Driven Modeling," JOM, Vol. 71, pp 2625–2634, 2019.

  296. Hu, Z. & Mahadevan, S., "Probability models for data-Driven global sensitivity analysis," Reliability Engineering & System Safety, Vol. 187, pp 40-57, 2019.

  295. Vohra, M., Alexanderian, A., Guy, H., & Mahadevan, S., "Active subspace-based dimension reduction for chemical kinetics applications with epistemic uncertainty," Combustion and Flame, Vol. 204, pp 152-161, 2019.

  294. Subramanian, A. & Mahadevan, S, "Bayesian estimation of discrepancy in dynamics model prediction", Mechanical Systems and Signal Processing," Vol. 123, pp 351-368, 2019.

  293. Vohra, M., Alexanderian, A., Safta, C., & Mahadevan, S, "Sensitivity-Driven Adaptive Construction of Reduced-space Surrogates," Journal of Scientific Computing, Vol. 79, pp 1335–1359, 2019.

  292. Nath, P. Hu, Z., & Mahadevan, S, "Uncertainty quantification of grain morphology in laser direct metal deposition,"  Modelling and Simulation in Materials Science and Engineering ,  Vol. 27 ,  No. 4, 2019

  291. Vohra, M. & Mahadevan, S, "Discovering the active subspace for efficient UQ of molecular dynamics simulations of phonon transport in silicon," International Journal of Heat and Mass Transfer, Vol. 132, pp 577-586, 2019.

  290. Neal, K., Hu, Z., Mahadevan, S., & Zumberge, J, "Discrepancy Prediction in Dynamical System Models Under Untested Input Histories," Journal of Computational and Nonlinear Dynamics, Vol. 14, No. 2, 2019.

  289. Zhang, X. & Mahadevan, S, "Ensemble machine learning models for aviation incident risk prediction," Decision Support Systems, Vol. 116, pp 48-63, 2019.

  288. Hu, Z., Hu, C., Mourelatos, Z. P., & Mahadevan, S, "Model Discrepancy Quantification in Simulation-Based Design of Dynamical Systems," Journal of Mechanical Design, Vol. 141, No. 1, 2019.

  287. DeCarlo, E.C., Mahadevan, S. & Smarslok, B.P., "Efficient global sensitivity analysis with correlated variables," Structural and Multidisciplinary Optimization, Vol. 58, pp 2325–2340, 2018.

  286. Vohra, M., Nobakht, A. Y., Shin, S., & Mahadevan, S, "Uncertainty quantification in non-equilibrium molecular dynamics simulations of thermal transport," International Journal of Heat and Mass Transfer, Vol. 127, pp 297-307, 2018.

  285. Absi, G. N. & Mahadevan, S, "Input-dependence effects in dynamics model calibration," Mechanical Systems and Signal Processing, Vol. 109, pp 285-304, 2018.

  284. Pradhan, S., Dubey, A., Khare, S., Nannapaneni, S., Gokhale, A., Mahadevan, S., Schmidt, D. C., & Lehofer, M, "CHARIOT: Goal-Driven Orchestration Middleware for Resilient IoT Systems," ACM Transactions on Cyber-Physical Systems, Vol. 2, No. 3, 2018

  283. DeCarlo, E. C., Smarslok, B. P., & Mahadevan, S, " Quantifying Model Discrepancy in Time-Dependent, Coupled Analyses," AIAA Journal, Vol. 56, No. 6, 2018.

  282. Wei, D., Zhang, X., & Mahadevan, S, "Measuring the vulnerability of community structure in complex networks," Reliability Engineering & System Safety, Vol. 174, pp 41-52, 2018.

  281. McDonald, M., Mahadevan, S., Ambrosiano, J., & Powell, D, " Risk-Based Policy Optimization for Critical Infrastructure Resilience against a Pandemic Influenza Outbreak," Journal of Risk Uncertainty in Engineering Systems, Vol. 4, No. 2, 2018.

  280. VanDerHorn, E. & Mahadevan, S, "Bayesian model updating with summarized statistical and reliability data," Reliability Engineering & System Safety, Vol. 172, pp 12-24, 2018.

  279. Cai, G. & Mahadevan, S, " Big Data Analytics in Uncertainty Quantification: Application to Structural Diagnosis and Prognosis," Journal of Risk Uncertainty in Engineering Systems, Vol. 4, No. 1, 2018.

  278. Li, C. & Mahadevan, S, "Sensitivity Analysis of a Bayesian Network," Journal of Risk Uncertainty in Engineering Systems, Vol. 4, No. 1, 2018.

  277. Hu, Z. & Mahadevan, S, "Adaptive Surrogate Modeling for Time-Dependent Multidisciplinary Reliability Analysis," ASME Journal of Mechanical Design, Vol. 140, No. 2, 2018.

  276. Hu, Z., Mahadevan, S. & Ao, D, "Uncertainty aggregation and reduction in structure–material performance prediction," Computational Mechanics, Vol. 61, pp 237–257, 2018.

  275. Nannapaneni, S., Narayanan, A., Ak, R., Lechevalier, D., Sexton, T., Mahadevan, S., & Lee, Y. T. T., "Predictive Model Markup Language (PMML) Representation of Bayesian Networks: An Application in Manufacturing," Smart and sustainable manufacturing systems, Vol. 2, 2018.

  274. Zhang, X., Mahadevan, S., Sankararaman, S., & Goebel, K, "Resilience-based network design under uncertainty", Reliability Engineering & System Safety," Vol. 169, pp 364-379, 2018.

  273. Li, C. & Mahadevan, S, "Efficient approximate inference in Bayesian networks with continuous variables," Reliability Engineering & System Safety, Vol. 169, pp 269-280, 2018.

  272. Hu, Z. & Mahadevan, S, "Uncertainty quantification and management in additive manufacturing: current status, needs, and opportunities," The International Journal of Advanced Manufacturing Technology, Vol. 93, pp 2855-2874, 2017.

  271. Cummins, J. J., Thomas, S., Nash, C. J., Mahadevan, S., Adams, D.E., & Barth E. J., " Experimental evaluation of the efficiency of a pneumatic strain energy accumulator," International Journal of Fluid Power, Vol. 18, No. 3, 2017.

  270. Hu, Z., & Mahadevan, S, "A surrogate modeling approach for reliability analysis of a multidisciplinary system with spatio-temporal output," Structural and Multidisciplinary Optimization, Vol. 56, pp 553-569, 2017.

  269. Li, Z., Xiao, F., Fei, L., Mahadevan, S., & Deng, Y, "An Evidential Failure Mode and Effects Analysis Using Linguistic Terms," Quality and Reliability Engineering International, Vol. 33. No. 5, pp 993-1010, 2017.

  268. Li, C., & Mahadevan, S, "Robust Resource Allocation for Calibration and Validation Tests," ASME Journal of Validation, Verification and Uncertainty  Quantification, Vol. 2, No. 2, 2017.

  267. Nannapaneni, S., Mahadevan, S., Dubey, A., Lechevalier, D., Narayanan, A. & Rachuri, S, "Automated Uncertainty Quantification Through Information Fusion in Manufacturing Processes," Smart and Sustainable Manufacturing Systems, Vol. 1, No. 1, 2017. 

  266. Seshadri, P., Narayan, A., & Mahadevan, S, "Effectively Subsampled Quadratures for Least Squares Polynomial Approximations", SIAM/ASA Journal on Uncertainty Quantification, Vol. 5, No. 1, pp 1003-1023, 2017.

  265. Zhou, X., Deng, X., Deng, Y., & Mahadevan, S, “Dependence assessment in human reliability analysis based on D numbers and AHP,” Nuclear Engineering and Design, Vol. 313, pp 243-252, 2017.

  264. Ao, D., Hu, Z., & Mahadevan, S, “Dynamics Model Validation Using Time-Domain Metrics,” ASME Journal of Verification, Validation and Uncertainty Quantification, Vol. 2，No. 1, 011004, 2017.

  263. Hu, Z., & Mahadevan, S, “Time-Dependent Reliability Analysis Using a Vine-ARMA Load Model”, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, Vol. 3, No. 1, 011007, 2017.

  262. Chen, L., Zhou, X., Xiao, F., Deng, Y., & Mahadevan, S, “Evidential Analytic Hierarchy Process Dependence Assessment Methodology in Human Reliability Analysis”, Nuclear Engineering and Technology, Vol. 49, No. 1, pp 123-133, 2017.

  261. Li, C., Mahadevan, S., Ling, Y., Choze, S., & Wang, L, “Dynamic Bayesian Network for Aircraft Wing Health Monitoring Digital Twin”. AIAA Journal, Vol. 55, No. 3, pp 930-941, 2016.

  260. Ao, D., Hu, Z., & Mahadevan, S, “Design of validation experiments for life prediction models”, Reliability Engineering & System Safety, Vol. 165, pp 22-33, 2017.

  259. Ai, Q., Yuan, Y., Mahadevan, S., & Jiang, X, “Maintenance strategies optimisation of metro tunnels in soft soil”. Structure and Infrastructure Engineering, Vol. 13, No. 8, pp 1093-1103, 2017.

  258. Cummins, J. J., Nash, C. J., Thomas, S., Justice, A., Mahadevan, S., Adams, D. E., & Barth, E. J, “Energy conservation in industrial pneumatics: A state model for predicting energetic savings using a novel pneumatic strain energy accumulator”. Applied Energy, Vol. 198, pp 239-249, 2017.

  257. Zhang, X., & Mahadevan, S, “A Game Theoretic Approach to Network Reliability Assessment”. IEEE Transactions on Reliability, doi: 10.1109/TR.2017.2717186, 2017.

  256. Hu, Z., & Mahadevan, S, “Uncertainty quantification in prediction of material properties during additive manufacturing”, Scripta Materialia, Vol.135, No. 1, pp 135-140, 2017.

  255. Zhang, X., & Mahadevan, S, “A Bio-Inspired Approach to Traffic Network Equilibrium Assignment Problem”. IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2017.2691666, 2017.

  254. Zhang, X., Mahadevan, S., & Deng, X, “Reliability analysis with linguistic data: An evidential network approach”. Reliability Engineering & System Safety, Vol. 162, pp 111-121, 2017.

  253. Cummins, J. J., Thomas, S., Nash, C. J., Mahadevan, S., Adams, D. E., & Barth, E. J, “Experimental evaluation of the efficiency of a pneumatic strain energy accumulator”, International Journal of Fluid Power, pp 1-14, 2017.

  252. Hu, Z., Nannapaneni, S., & Mahadevan, S, “Efficient Kriging surrogate modeling approach for system reliability analysis”. AI EDAM, Vol. 31, No. 2, pp 143-160, 2017.

  251. Hu, Z., Ao, D., & Mahadevan, S, “Calibration experimental design considering field response and model uncertainty”, Computer Methods in Applied Mechanics and Engineering, Vol. 318, pp 92-119, 2017.

  250. Zhang, X., and Mahadevan, S, “Aircraft re-routing optimization and performance assessment under uncertainty,” Decision Support Systems, Vol. 96, No. 4, pp 67-82, 2017.

  249. Nath, P., Hu, Z., and Mahadevan, S., “Sensor placement for calibration of spatially varying model parameters,” Journal of Computational Physics, Vol. 343, No. 8, pp 150-169, 2017.

  248. Zaman, K., Mahadevan, S., “Reliability-based design optimization of multidisciplinary system under aleatory and epistemic uncertainty,” Structural and Multidisciplinary Optimization, Vol. 55, No. 2, pp 681-699, 2017.

  247. Liang, C., Mahadevan, S., “Pareto surface construction for multi-objective optimization under uncertainty,” Structural and Multidisciplinary Optimization, Vol. 55, No. 5, pp 1865-1882, 2017.

  246. Chen, L., Zhou, X., Xiao, F., Deng, Y., and Mahadevan, S., “Evidential Analytic Hierarchy Process Dependence Assessment Methodology in Human Reliability Analysis,” Nuclear Engineering and Technology, Vol. 49, No. 1, pp 123-133, 2017.

  245. Hu, Z., and Mahadevan, S., “Uncertainty Quantification in Prediction of Material Properties during Additive Manufacturing,” Scripta Materialia, Vol. 135, No. 7, pp 135-140, 2017.

  244.  Zhang, X., Adamatzky, A., Chan, F.T.S., Mahadevan, S., and Deng, Y., “Physarum Solver: A Bio-Inspired Method for Sustainable Supply Chain Network Design Problem,” Annals of Operations Research, Vol. 255, No. 1-2, pp 533-552, 2017.

  243. Zhang, X., Chan, F.T., Adamatzky, A., Mahadevan, S., Yang, H., Zhang Z., and Deng, Y., “An Intelligent Physarum Solver for Supply Chain Network Design under Profit Maximization and Oligopolistic Competition,” International Journal of Production Research, Vol. 55, No. 1, pp 244-263, 2017.

  242. Su, X., Mahadevan, S., Han, W. and Deng, Y., “Combining dependent bodies of evidence,” Applied Intelligence," Vol. 44,  No. 3, pp 634-644, 2016.

  241. Zhang, X., Adamatzky, A., Yang, X.S., Yang, H., Mahadevan, S. and Deng, Y., “A Physarum-inspired approach to supply chain network design,” Science China Information Sciences, Vol. 59, Article ID 052203, 2016.

  240. Jiang, X., Mahadevan, S. and Yuan, Y., “Fuzzy stochastic neural network model for structural system identification,” Mechanical Systems and Signal Processing, Vol. 82, No. 1, pp 394-411, 2017.

  239. DeCarlo, E., Smarslok, B., and Mahadevan, S., “Segmented Bayesian Calibration of Multidisciplinary Models,” AIAA Journa l, Vol. 54, No. 12, pp 3727-3741, 2017.

  238. Cai, G., and Mahadevan, S., “Uncertainty Quantification of Manufacturing Process Effects on Macro-scale Material Properties,” International Journal of Multiscale Computational Engineering, Vol. 14, pp 191-213, 2016.

  237. Bao, Y., and Mahadevan, S., “Uncertainty Quantification of Thermal Image-Based Concrete Diagnosis,” International Journal of Sustainable Materials and Structural Systems, Vol. 2, No. 1-2, pp 77-95, 2016.

  236. Hu, Z., and Mahadevan, S., “Uncertainty Quantification of Time-Dependent Reliability Analysis in the Presence of Parametric Uncertainty,” ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Vol. 2, No. 3, page 031005 (11 pages), 2016.

  235. Nannapaneni, S., Hu, Z., and Mahadevan, S., “Uncertainty Quantification in Reliability Estimation with Limit State Surrogates,” Structural and Multidisciplinary Optimization, Vol. 54, No. 6, pp 1509–1526, 2016.

  234. Nannapaneni, S., and Mahadevan, S., “Reliability Analysis under Epistemic Uncertainty,” Reliability Engineering & System Safety, Vol. 155, pp. 9-20, 2016.

  233. Bartram, G., and Mahadevan, S., “System damage diagnosis with heterogeneous information,” Structural Health Monitoring, accepted.

  232. Hu, Z., and Mahadevan, S., “A Single-Loop Kriging Surrogate Modeling for Time-Dependent Reliability Analysis,” Journal of Mechanical Design, ASME, Vol. 138, No. 6, pp. 061406, 2016.

  231. Li, C., and Mahadevan, S., “An Efficient Modularized Sample-Based Method to Estimate the First-Order Sobol Index,” Reliability Engineering & System Safety, Vol. 153, pp 110-121, 2016.

  230. Zhang, X., Deng, Y., Chan, F. T., Adamatzky, A., and Mahadevan, S., “Supplier selection based on evidence theory and analytic network process,” Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Vol. 230, No. 3, pp. 562-573, 2016.

  229. Ai, Q., Yuan, Y., Mahadevan, S. and Jiang, X., “Probabilistic Degradation Modeling of Segmental Linings Assembled Circular Tunnels,” Structural Concrete, Vol. 17, No. 2, pp. 257-273, 2016.

  228. Deng, X., Liu, Q., Deng, Y. and Mahadevan, S., “An improved method to construct basic probability assignment based on the confusion matrix for classification problem,” Information Sciences, Vol. 340-341, pp. 250-261, 2016.

  227. Li, C. and Mahadevan, S., “Role of calibration, validation, and relevance in multi-level uncertainty integration,” Reliability Engineering & System Safety, Vol. 148, pp. 32-43, 2016.

  226. Mullins, J., Ling, Y., Mahadevan, S., Sun, L. and Strachan, A., “Separation of aleatory and epistemic uncertainty in probabilistic model validation,” Reliability Engineering & System Safety, Vol. 147, pp. 49-59, 2016.

  225. Zhu, S.P., Huang, H.Z., Peng, W., Wang, H.K. and Mahadevan, S., “Probabilistic Physics of Failure-based framework for fatigue life prediction of aircraft gas turbine discs under uncertainty,” Reliability Engineering & System Safety, Vol. 146, pp. 1-12, 2016.

  224. Nannapaneni, S., Mahadevan, S. and Rachuri, S., “Performance evaluation of a manufacturing process under uncertainty using Bayesian networks,” Journal of Cleaner Production, Vol. 113, pp. 947-959, 2016.

  223. Hu, Z. and Mahadevan, S., “Global sensitivity analysis-enhanced surrogate (GSAS) modeling for reliability analysis,” Structural and Multidisciplinary Optimization, Vol. 53, No. 3, pp. 501-521, 2016.

  222. Hu, Z. and Mahadevan, S., “Accelerated Life Testing (ALT) Design Based on Computational Reliability Analysis,” Quality and Reliability Engineering International, available online, DOI 10.1002/qre.1929.

  221. Liang, C., and S. Mahadevan, “Stochastic Multidisciplinary Analysis with High Dimensional Coupling,” AIAA Journal, Vol. 54, No. 4, pp. 1209-1219, 2016.

  220. Absi, G. N., and S. Mahadevan, “Multi-Fidelity Approach to Dynamics Model Calibration,” Mechanical Systems and Signal Processing, Vol. 68-69, pp. 189-206, 2016.

  219. Li, C., and S. Mahadevan, “Relative Contributions of Aleatory and Epistemic Uncertainty Sources in Time Series Prediction,” International Journal of Fatigue, Vol. 82, pp. 474-486, 2016.

  218. Bartram, G., and Mahadevan, S., “Probabilistic prognosis using dynamic Bayesian networks,” International Journal of Prognostics and Health Monitoring, Vol. 6, No. 002, 2015.

  217. Zhang, X., Deng, Y., Chan, F. T., & Mahadevan, S. "A fuzzy extended analytic network process-based approach for global supplier selection," Applied Intelligence, Vol. 43, No. 4, pp. 760-772, 2015.

  216. Dey, A., Kulkarni, S., Mahadevan, S., Tryon, R.G. and Krishnan, G., “Uncertainty Management in Computational Simulations of Medical Devices,” Journal of Medical Devices, Vol. 9, pp.030954, 2015.

  215. Hu, Z. and Mahadevan, S., “Time-Dependent System Reliability Analysis Using Random Field Discretization,” Journal of Mechanical Design, Vol. 137, pp.101404, 2015.

  214. Wang, H., Zhang, Y., Zhang, Z., Mahadevan, S. and Deng, Y., “Physarum Spreader: A New Bio-Inspired Methodology for Identifying Influential Spreaders in Complex Networks,” PloS One, Vol. 10, pp.e0145028, 2015.

  213. Griffith, C.D. and Mahadevan S., “Human reliability under sleep deprivation: Derivation of performance shaping factor multipliers from empirical data,” Reliability Engineering & System Safety, Vol. 144, pp. 23-34, 2015.

  212. Sankararaman, S., and Mahadevan, S., “Integration of calibration, verification and validation for uncertainty quantification in engineering systems,” Reliability Engineering & System Safety, Vol. 138, pp. 194-209, 2015.

  211. Zhang, Q., Li, M., Deng, Y., and Mahadevan, S., “Tsallis information dimension of complex networks,” Physica A: Statistical Mechanics and its Applications, Vol. 419, pp. 707-717, 2015.

  210. Su, X., Mahadevan, S., Xu, P., and Deng, Y., “Handling of dependence in Dempster-Shafer theory,” International Journal of Intelligent Systems, Vol. 30, No. 4, pp. 441-467, 2015.

  209. Su, X., Mahadevan, S., Xu, P., and Deng, Y., “Dependence assessment in human reliability analysis using evidence theory and AHP,” Risk Analysis, Vol. 25, No. 7, pp. 1296-1316, 2015.

  208. Liang, C., and Mahadevan, S., “Bayesian Sensitivity Analysis and Uncertainty Integration for Robust Optimization,” Journal of Aerospace Information Systems, Vol. 12, pp. 189-203, 2015.

  207. Deng, X., Lu, X., Chan, F. T., Sadiq, R., Mahadevan, S., & Deng, Y. "D-CFPR: D numbers extended consistent fuzzy preference relations,” Knowledge-Based Systems, Vol. 73, pp. 61-68, 2015.

  206. Zhang, X., Mahadevan, S., & Deng, Y. "Physarum-Inspired Applications in Graph-Optimization Problems," Parallel Processing Letters, Vol. 25, No. 1, Article ID: 1540005, 2015.

  205. Liang, C., Mahadevan, S., & Sankararaman, S. "Stochastic Multidisciplinary Analysis Under Epistemic Uncertainty."  Journal of Mechanical Design, 137, no. 2 (2015): 021404.

  204. Deng, X., Lu, X., Chan, F. T., Sadiq, R., Mahadevan, S., & Deng, Y. "D-CFPR: D numbers extended consistent fuzzy preference relations."  Knowledge-Based Systems, 73 (2015): 61-68.

  203. Zhang, X., Mahadevan, S., & Deng, Y. "Physarum-Inspired Applications in Graph-Optimization Problems." Parallel Processing Letters  25, no. 01 (2015): 1540005.

  202. Zhang, X., Deng, Y., Chan, F. T., & Mahadevan, S. "A fuzzy extended analytic network process-based approach for global supplier selection."  Applied Intelligence (2015): 1-13.

  201. Liang, C., & Mahadevan, S. "Bayesian Sensitivity Analysis and Uncertainty Integration for Robust Optimization."  Journal of Aerospace Information Systems, 12, no. 1 (2014): 189-203.

  200. Zhang, X., Zhang, Y., & Deng, Y. (2014). An improved bio-inspired algorithm for the directed shortest path problem. Bioinspiration & Biomimetics, 9(4), 046016.

  199. Zhang, X., Deng, Y., Chan, F. T., Adamatzky, A., & Mahadevan, S. (2014). Supplier selection based on evidence theory and analytic network process. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 0954405414551105.

  198. Zhang, X., Adamatzky, A., Yang, H., Mahadaven, S., Yang, X. S., Wang, Q., & Deng, Y. (2014). A bio-inspired algorithm for identification of critical components in the transportation networks. Applied Mathematics and Computation, 248, 18-27.

  197. Zhang, X., Adamatzky, A., Chan, F. T., Deng, Y., Yang, H., Yang, X. S., Tsompanas, M. A., Sirakoulis, G. C., Mahadevan, S. (2015). A Biologically Inspired Network Design Model. Scientific reports.

  196. Bartram, G., and S. Mahadevan, “Integration of Heterogeneous Information in SHM Models,” Structural Control and Health Monitoring, Vol. 21, No. 3, pp. 403-422, 2014.

  195. Zhang, X., Wang, Q., Adamatzky, A., Chan, F., Mahadevan, S., and Deng, Y., “A biologically inspired optimization algorithm for solving fuzzy shortest path problems with mixed fuzzy arc lengths,” Journal of Optimization Theory and Applications, Vol. 163, No. 3, pp. 1049-1056, 2014.

  194. Deng, X., Yu, H., Chan, F., Mahadevan, S., and Deng, Y., “Parameter estimation based on interval-valued belief structures,” European Journal of Operations Research, Vol. 241, No. 2, pp. 579-582, 2014.

  193. Liang, C., Mahadevan, S., and Sankararaman, S., “Stochastic Multi-Disciplinary Analysis under Epistemic Uncertainty,” Journal of Mechanical Design, ASME, Vol. 137, No. 2, 2014.

  192. Zhang, H., Hu, Y., Lan, X., Mahadevan, S., and Deng, Y., “Fuzzy fractal dimension of complex networks,” Applied Soft Computing, Vol.25, pp. 514-518, 2014.

  191. Mullins, J., & Mahadevan, S., “Variable-fidelity model selection for stochastic simulation,” Reliability Engineering & System Safety, Vol. 131, pp. 40-52, 2014.

  190. Ling, Y., Mullins, J., and Mahadevan, S., “Selection of model discrepancy priors in Bayesian calibration,” Journal of Computational Physics, Vol.276, pp. 665-680, 2014.

  189. Zhang, X., Zhang, Y., Zhang, Z., Mahadevan, S., Adamatzky, A., and Deng, Y., “Rapid Physarum Algorithm for shortest path problem,” Applied Soft Computing, Vol. 23, pp.19-26, 2014.

  188. Xu, P., Su, X., Mahadevan, S., Li, C., and Deng, Y., “A non-parametric method to determine basic probability assignment for classification problems,” Applied Intelligence, Vol.41, No.3, pp. 681-693, 2014.

  187. Su, X., Mahadevan, S., Xu, P., and Deng, Y., “Inclusion of task dependence in human reliability analysis,” Reliability Engineering & System Safety, Vol.128, pp. 41-55, 2014.

  186. Zhang, X., Wang, Q., Chan F., Mahadevan, S., and Deng, Y., “A physarum polycephalum optimization algorithm for the bi-objective shortest path problem,” International Journal of Unconventional Computing, Vol. 10, No. 1-2, pp. 143-162, 2014.

  185. Deng, X., Hu, Y., Deng Y., and Mahadevan, S., “Environmental impact assessment based on D numbers,” Expert Systems with Applications, Vol. 41, No. 2, pp. 635-653, 2014.

  184. Xu, P., Deng, Y., Su, X., Chen, X., and Mahadevan, S., “An evidential approach to physical protection system design,” Safety Science, Vol.65, pp. 125-137, 2014.

  183. Chen, S., Hu, Y., Mahadevan, S., and Deng, Y., “A visibility graph averaging aggregation operator,” Physica A: Statistical Mechanics and its Applications, Vol. 403, pp. 1-12, 2014.

  182. Li, Y., Hu, Y., Zhang, X., Deng, Y., and Mahadevan, S. “An evidential DEMATEL method to identify critical success factors in emergency management,” Applied Soft Computing, Vol.22, pp.504-510, 2014.

  181. Zhang, X., Wang, Q., Adamatzky, A., Chan, F. T., Mahadevan, S., and Deng, Y., “An Improved Physarum polycephalum Algorithm for the Shortest Path Problem,” The Scientific World Journal, Vol. 2014, Article ID 487069, 2014.

  180. Huang, S., Su, X., Hu, Y., Mahadevan, S. and Deng, Y.,  “A new decision-making method by incomplete preferences based on evidence distance,” Knowledge-Based Systems, Vol. 56, No. 1, pp. 264-272, 2014.

  179. Deng, X., Hu, Y., Deng, Y., and Mahadevan, S., “Supplier selection using AHP methodology extended by D numbers,” Expert Systems with Applications, Vol. 41, No. 1, pp. 156-167, 2014.

  178. Gao, C., Yan, C., Zhang, Z., Mahadevan, S. and Deng, Y.,“An amoeboid algorithm for solving linear transportation problem,” Physica A: Statistical Mechanics and its Applications, Vol. 398, pp 179-186, 2014.

  177. Du, Y., Gao, C., Hu, Y., Mahadevan, S. and Deng, Y.,“A new method of identifying influential nodes in complex networks based on TOPSIS,” Physica A: Statistical Mechanics and its Applications, Available online, 2014.

  176. Sankararaman, S., McLemore, K., Mahadevan, S., Bradford, S.C.and Peterson, L.D., “Test Resource Allocation in Hierarchical Systems using Bayesian Networks,” AIAA Journal, Vol. 51, No. 3, 2013.

  174. Ling, Y., Mahadevan, S., "Quantitative model validation techniques: new insights," Reliability Engineering & System Safety, Vol 111, pp. 217-231, 2013.

  173. Pathak, S., Pokharel, M., and Mahadevan, S., “Hyper-Competition, Collusion, Free Riding or Coopetition: Basins of Attraction When Firms Simultaneously Compete and Cooperate," Nonlinear Dynamics, Psychology, & Life Sciences (Special Issue on Organizational Dynamics). Vol. 17, No. 1, pp. 133-57, 2013.

  172. Huang, S., Su, X., Hu, Y., Mahadevan, S. and Deng, Y.,“ A new decision-making method by incomplete preferences based on evidence distance, ”Knowledge-Based Systems, available online, 2013.

  171. Wei, D., Liu, Q., Zhang, H., Hu, Y., Deng, Y. and Mahadevan, S. “ Box-covering algorithm for fractal dimension of weighted networks,” Scientific reports, available online, 2013.

  170. Deng, X., Hu, Y., Deng, Y.and Mahadevan, S. “ Supplier selection using AHP methodology extended by D numbers,” Expert Systems with Applications, Available online, 2013.

  169. Zhang, X., Deng, Y., Chan, F.T.S., Xu, P., Mahadevan, S.and Hu, Y. “IFSJSP: A novel methodology for the Job-Shop Scheduling Problem based on intuitionistic fuzzy sets,” International Journal of Production Research. Available online, 2013.

  168. Zhang, X., Zhang, Y., Hu,Y., Deng, Y., Mahadevan, S.,“ An adaptive amoeba algorithm for constrained shortest paths,” Expert Systems with Applications, Vol. 40, No. 18, pp. 7607–7616, 2013.

  167. Gao, C., Wei, D., Hu, Y., Mahadevan, S.and Deng, Y.,“ A modified evidential methodology of identifying influential nodes in weighted networks,”Physica A: Statistical Mechanics and its Applications, Vol. 392, No. 21, pp. 5490–5500,2013.

  166. Zhang, X., Huang,S., Hu, Y., Zhang, Y., Mahadevan, S.and Deng, Y.,“ Solving 0-1 knapsack problems based on amoeboid organism algorithm,”Applied Mathematics and Computation, Vol. 219, No. 19, pp. 9959–9970,2013.

  165. Xu, P., Deng,Y., Su, X. and Mahadevan, S., “ A new method to determine basic probability assignment from training data,” Knowledge-Based Systems. Vol. 46, pp. 69–80, 2013.

  164. Wei, D., Deng, X., Zhang, X., Deng,Y. and Mahadevan, S., “ Identifying influential nodes in weighted networks based on evidence theory,” Physica A: Statistical Mechanics and its Applications. Vol. 392, No.10, pp. 2564-2575. 2013.

  163. Zhang, Y., Zhang, Z., Deng,Y.and Mahadevan, S., “ A biologically inspired solution for fuzzy shortest path problems,” Applied Soft Computing.Vol. 13, No. 5, pp. 2356-2363. 2013.

  162. McDonald, M., Zaman, K. and Mahadevan, S., “Probabilistic Analysis with Sparse Data,” AIAA Journal, Vol. 51, No. 2, pp. 281-290, 2013.

  161. Jiang, X. and Mahadevan, S., "Intelligent Computational Approaches to Signal Processing and Damage Detection," Earthquakes and Health Monitoring of Civil Structures, pp. 85-107, 2013.

  160. Mahadevan, S., “Uncertainty Quantification for Decision-Making in Engineered Systems,” Proceedings of the International Symposium on Engineering under Uncertainty: Safety Assessment and Management, pp. 97-11, 2013.

  159. Sankararaman, S., and Mahadevan, S., “Bayesian methodology for diagnosis uncertainty quantification and health monitoring,” Structural Control and Health Monitoring, Vol. 20, pp. 88-106, 2013.

  158. Bichon, B.J., Eldred,M.S.and Mahadevan, S., “ Efficient Global Surrogate Modeling for Reliability-Based Design Optimization,” Journal of Mechanical Design, Vol. 135, no. 1, pp. 011009, 2013.

  157. Zaman, K., Mahadevan, S., “Robustness-Based Design Optimization of Multidisciplinary System Under Epistemic Uncertainty,” AIAA Journal. pp. 1-11, 2013.

  156. Hombal, V., and Mahadevan, S., "Model Selection Among Physics-Based Models," ASME Journal of Mechanical Design, Vol. 135, No. 2, pp. 021003, 2012.

  155. Sankararaman, S., McLemore, K., Mahadevan, S., Bradford, S.C.and Peterson, L.D., “Test Resource Allocation in Hierarchical Systems using Bayesian Networks,” AIAA Journal,Vol. 51, No. 3, pp. 537-550, 2013.

  154. Sankararaman, S., and Mahadevan, S., “Separating the Contributions of Variability and Parameter Uncertainty in Probability Distributions,” Reliability Engineering & System Safety, Vol. 112, pp. 187-199, 2013.

  153. Ling, Y., Mahadevan, S., "Quantitative model validation techniques: new insights," Reliability Engineering & System Safety, Vol 111, pp. 217-231, 2013.

  152. Pathak, S., Pokharel, M., and Mahadevan, S., “Hyper-Competition, Collusion, Free Riding or Coopetition: Basins of Attraction When Firms Simultaneously Compete and Cooperate," Nonlinear Dynamics, Psychology, & Life Sciences (Special Issue on Organizational Dynamics). Vol. 17, No. 1, pp. 133-57, 2013.

  151. Rangavajhala, S., Liang, C., Mahadevan, S.and Hombal, V. “Concurrent Optimization of Mesh Refinement and Design Parameters in Multidisciplinary Design,” Journal of Aircraft. Vol. 49, No. 6, pp. 1786-1795, 2012.

  150. Rangavajhala, S., and Mahadevan, S., “Design Optimization for Robustness in Multiple Performance Functions,” Structural and Multidisciplinary Optimization.Vol. 47, No. 4, pp 523-538, 2012.

  149. Sankararaman, S., and Mahadevan, S., “Likelihood-Based Approach for Multidisciplinary Analysis,” ASME Journal of Mechanical Design. Vol. 134, No. 3, pp. 031008, 2012.

  148. Sankararaman, S., and Mahadevan, S., “Model Parameter Estimation with Imprecise Input/Output Data,” Inverse Problems in Science and Engineering. Vol. 20, No. 7, pp. 1017-1041, 2012.

  147. Su, X.Y., Deng, Y., Mahadevan, S., and Bao, Q. L., “An improved method for risk evaluation in failure modes and effects analysis of aircraft engine rotor blades,” Engineering Failure Analysis. Vol. 26, pp.164-174.

  146. Mahadevan, S, and Overstreet, J., “Use of Reliability and Warranty Data to Inform Call Center Staffing,” Quality Engineering. Vol. 24, No. 3, pp. 386-399, 2012.

  145. Hombal, V., and Mahadevan, S, “Surrogate Modeling Of 3D Crack Growth,” International Journal of Fatigue. Vol. 47, pp. 90-99, 2013.

  144. Hombal, V., Ling., Y., Wolfe, K. A. and Mahadevan, S, “Two-Stage Planar Approximation to Non-Planar Crack Growth,” Engineering Fracture Mechanics. Vol. 96, pp. 147-164, 2012.

  143. Sarkar, S., Kosson, D.S., Mahadevan, S., Meeussen, J.C.L., van der Sloot, H., Arnold, J.R., Brown, K.G. “Bayesian calibration of thermodynamic parameters for geochemical speciation modeling of cementitious materials,” Cement and Concrete Research, Vol. 42, No. 7, pp. 889-902, 2012.

  142. Jiang, x., Yuan Y., Mahadevan, S., Liu, X. “ An investigation of Bayesian inference approach to model validation with non-normal data,” Journal of Statistical Computation and Simulation, Vol. 83, No. 10, pp. 1829-1851, 2012.

  141. Kang, B., Deng,Y., Sadiq, R.,Mahadevan, S., “ Evidential cognitive maps,” Knowledge-Based Systems. Vol 35, pp. 77-86. 2012.

  140. Deng, Y., Chen,Y., Zhang, Y.,Mahadevan, S., “ Fuzzy Dijkstra algorithm for shortest path problem under uncertain environment ,” Applied Soft Computing. Vol. 12, No. 3, pp. 1231-1237, 2012.

  139. Urbina, A., Mahadevan, S., Paez, T.L., “ A Bayes Network Approach to Uncertainty Quatification in Hierarchically Developed Computational Models,” International Journal for Uncertainty Quantification. Vol. 2, No. 2, pp. 173-193, 2012.

  138. Sarkar, S., Mahadevan, S., Meeussen, J. C. L., van der Sloot, H. , Kosson, D., “ Sensitivity Analysis of Damage in Cement Materials under Sulfate Attack and Calcium Leaching,” Journal of Materials in Civil Engineering, ASCE. Vol. 24, No. 4, pp. 430-440, 2012.

  137. McInvale, h., McDonald, M., Mahadevan, S., “ A System of Systems Approach for Effects-Based Operational Planning Under Uncertainty,” Military Operations Research. Vol. 16, No. 3, pp.31-46(16), 2011.

  136. Hombal, V., and Mahadevan, S., “ Bias Minimization in Gaussian Process Surrogate Modeling for Uncertainty Quantification,” International Journal for Uncertainty Quantification. Vol. 1, No. 4, pp. 321-349, 2011.

  135. Sankararaman, S., Ling, Y., and Mahadevan, S., “ Uncertainty Quantification and Model Validation of Fatigue Crack Growth Prediction," Engineering Fracture Mechanics, Vol. 78, No. 7, pp. 1487-1504, 2011.

  134. Ling, Y., Mahadevan, S., " Integration of Structural Health Monitoring and Fatigue Damage Prognosis," Mechanical Systems and Signal Processing, Vol.28, pp 89-104, 2012.

  133. Urbina, A., Mahadevan, S., T. Paez, “Quantification of Margins and Uncertainties of Complex Systems in the Presence of Aleatoric and Epistemic Uncertainty ,” Reliability Engineering and System Safety, Vol. 96, No. 9, pp. 1114-1125, 2011.

  132. Griffith, C., and Mahadevan, S., " Inclusion of Fatigue Effects in Human Reliability Analysis," Reliability Engineering and System Safety, Vol.96, No.11, pp 1437–1447, 2011.

  131. Sankararaman, S., and Mahadevan, S., " Bayesian Methodology for Diagnosis Uncertainty Quantification and Health Monitoring," Structural Control and Health Monitoring, Vol. 20, No. 1, pp. 88–106, 2013.

  130. Bichon, B.J., J. M. McFarland, and Mahadevan, S., “ Efficient Surrogate Models for Reliability Analysis of Systems with Multiple Failure Modes,” Reliability Engineering and System Safety, Vol. 96, No. 10, pp. 1386-1395, 2011.

  129. Stratman, B., Mahadevan, S., C. Li, G. Biswas, “ Identification of critical inspection samples among railroad wheels by similarity-based agglomerative clustering,” Integrated Computer-Aided Engineering, Vol. 18, No. 3, pp. 203-219, 2011.

  128. Rangavajhala, S., V. Sura, V. Hombal, and Mahadevan, S., “Discretization Error Estimation in Multidisciplinary Simulations,” AIAA Journal, Vol.49, No.12, pp. 2673-2712, 2011.

  127. Sura, V., and Mahadevan, S., “Modeling of Shattered Rim Cracking in Railroad Wheels,” Journal of Rail and Rapid Transit, Vol.225, pp.593-604, 2011.

  126. Sura, V., and Mahadevan, S., “Modeling of Vertical Split Rim Cracking in Railroad Wheels,” Engineering Failure Analysis, Vol. 18, No.4, pp. 1171-1183, 2011.

  125. Ling, Y., C. Shantz, and Mahadevan, S., “Stochastic Prediction of Fatigue Loading using Real-time Monitoring Data,” International Journal of Fatigue, Vol. 33, No. 7, pp. 75-89, 2011.

  124. Sankararaman, S., and Mahadevan, S., “ Likelihood-Based Representation of Epistemic Uncertainty due to Sparse Point Data and Interval Data,” Reliability Engineering and System Safety. Vol. 96, No. 7, pp. 814-824, 2011.

  123. Sankararaman, S., Ling, Y., and Mahadevan, S., “Model Validation and Uncertainty Quantification of Fatigue Crack Growth Analysis,” Engineering Fracture Mechanics, Vol. 78, No. 7, pp. 1487-1504, 2011.

  122. Liang, B., and Mahadevan, S., “ Error and Uncertainty Quantification and Sensitivity Analysis of Mechanics Computational Models,” International Journal for Uncertainty Quantification. Vol. 1, No. 2, pp. 147-161, 2011.

  121. Zaman, K., M. McDonald, Mahadevan, S., and L. Green, “Robustness-Based Design Optimization under Data Uncertainty,” Structural and Multidisciplinary Optimization. Vol. 44, No. 2, pp. 183-197, 2011.

  120. Rangavajhala, S., and Mahadevan, S., “Joint Probability Formulation for Multi-Objective Optimization Under Uncertainty,” ASME Journal of Mechanical Design. Vol. 133, No. 5, pp. 051007, 2011.

  119. Sankararaman, S., Ling, Y., Shantz, C. and Mahadevan, S., “Uncertainty Quantification in Fatigue Crack Growth Prognosis,” International Journal of Prognostics and Health Management, Vol. 2, no. 1, 2011.

  118. Sankararaman, S., and Mahadevan, S., “Model Validation Under Epistemic Uncertainty,” Reliability Engineering and System Safety, Vol. 96, No. 9, pp.1232-1241, 2011.

  117. Jiang, X. and Mahadevan, S., "Wavelet Spectrum Analysis for Model Validation of Dynamic Systems," Mechanical Systems and Signal Processing, Vol. 25, No. 2, pp. 575-590, 2011.

  116. Zaman, K., M. McDonald, and Mahadevan, S., “ Probabilistic Framework for Uncertainty Propagation With Both Probabilistic and Interval Variables,” ASME Journal of Mechanical Design, Vol. 133, No.2, pp. 021010-1 to 021010-14, 2011.

  115. Zaman, K., McDonald, M., and Mahadevan, S., “A Probabilistic Approach for Representation of Interval Uncertainty,” Reliability Engineering and System Safety, Vol. 96, No. 1, pp. 117-130, 2011.

  114. Sankararaman, S., Ling, Y., and Mahadevan, S., “Inference of Equivalent Initial Flaw Size under Multiple Sources of Uncertainty,” International Journal of Fatigue, Vol. 33, No. 2, pp. 75-89, 2011.

  113. Hester, P. T., Adams, K. M., and Mahadevan, S., “ Examining metrics and methods for determining critical facility system effectiveness,” International Journal of Critical Infrastructures, Vol. 6, No. 3, pp. 211-224, 2010.

  112. Hester, P. T., and Mahadevan, S., “ A multicriteria approach to critical facility security system design,” Applications of Management Science, Vol. 14, pp. 105-131, 2010.

  111. Sankararaman, S., Ling, Y., and Mahadevan, S., “Statistical Estimation of EIFS in Structures with Complicated Geometry and Multi-axial Variable Amplitude Loading,” International Journal of Fatigue, Vol. 32, No. 10, pp. 1689-1700, 2010.

  110. Sankararaman, S., and Mahadevan, S., “Uncertainty Quantification in Structural Damage Diagnosis,” Structural Control and Health Monitoring, Vol. 18, No. 8, pp. 807-824, 2011.

  109. Pathak S.D., M. P. McDonald, and Mahadevan, S., “Policy Design under Uncertainty of Networked Systems using Agent-Based Modeling,” Decision Support Systems, Vol. 49, No. 2, pp. 121-131, 2010.

  108. Sarkar, S., Mahadevan, S., J.C.L. Meeussen, H. van der Sloot, D.S. Kosson, “Numerical Simulation of Cementitious Materials Degradation Under External Sulfate Attack,” Cement and Concrete Composites, Vol. 32, No. 3, pp. 241-252, 2010.

  107. Jiang, X., and Mahadevan, S., “Bayesian Nonlinear Structural Equation Modeling for Hierarchical Validation of Dynamic Systems,” Journal of Mechanical Systems and Signal Processing, Vol. 24, No. 4, pp. 957-975, 2010.

  106. Abbas, A. M., Mahadevan, S., M. Daigle, and G. Biswas, “Structural and Sensor Damage Detection using Bond Graphs,” Structural Control and Health Monitoring, Vol. 17, No. 2, pp. 178-197, 2010.

  105. Liu, Y.M., and Mahadevan, S., “Efficient Methods for Time-Dependent Fatigue Reliability Analysis,” AIAA Journal, Vol .47, No. 3, pp. 494-504, 2009.

  104. Jiang, X., and Mahadevan, S., “Bayesian Hierarchical Uncertainty Quantification by Structural Equation Modeling,” International Journal of Numerical Methods in Engineering, Vol. 80, Nos. 6-7, pp. 717-737, 2009.

  103. Liu, Y., and Mahadevan, S., “Probabilistic Damage Tolerance Analysis using Equivalent Initial Flaw Size Distribution,” International Journal of Fatigue, Vol. 31, No. 3, pp. 476-487, 2009.

  102. Pathak S.D., D. M. Dilts, and Mahadevan, S., “Investigating Population and Topological Evolution in a Complex Adaptive Supply Network,” Journal of Supply Chain Management, Vol. 45, No. 3, pp. 54-67, 2009.

  101. Jiang, X., Mahadevan, S. and R. Guratzsch, "Bayesian Wavelet Methodology for Damage Detection of Thermal Protection System Panels," AIAA Journal, Vol. 47, No. 4, pp. 942-952, 2009.

  100. Jiang, X., and Mahadevan, S., “Bayesian Inference Method for Model Validation and Confidence Extrapolation,” Journal of Applied Statistics, Vol. 36, No. 6, pp. 659-677, 2009.

  99. Jiang, X., and Mahadevan, S., “Bayesian Structural Equation Modeling for Hierarchical Model Validation,” Reliability Engineering and System Safety, Vol. 94, No. 4, pp. 796-809, 2009.

  98. McFarland, J.M., Mahadevan, S., V. Romero, and L. P. Swiler, “Calibration and Uncertainty Analysis for Computer Simulations with Multivariate Output,” AIAA Journal, Vol. 46, No. 5, pp. 1253-1265, 2008.

  97. Jiang, X., and Mahadevan, S., “Bayesian Probabilistic Inference for Nonparametric Damage Detection of Structures,” Journal of Engineering Mechanics, ASCE, Vol. 134, No. 10, 2008.

  96. Liu, Y., and Mahadevan, S., “Fatigue Limit Prediction of Notched Specimens using Short Crack Growth Theory and an Asymptotic Interpolation Method,” Engineering Fracture Mechanics, Vol. 76, No. 15, pp. 2317-2331, 2009.

  95. Bichon, B.J., M. S. Eldred, L. P. Swiler, Mahadevan, S., J. M. McFarland, “Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions,” AIAA Journal, Vol. 46, No. 10, pp. 2459-2468, 2008.

  94. Choi, H.H., and Mahadevan, S., “Construction Project Risk Assessment Using Existing Database and Project-specific Information,” ASCE Journal of Construction Engineering and Management, Vol. 134, No. 11, pp.894-903, 2008.

  93. Jiang, X. and Mahadevan, S., "Bayesian Wavelet Method for Multivariate Model Assessment of Dynamic Systems," Journal of Sound and Vibration, Vol. 312, pp. 694-712, 2008.

  92. McFarland, J.M., and Mahadevan, S., “Error and Variability Characterization in Structural Dynamics Modeling,” Computer Methods in Applied Mechanics and Engineering, Vol. 197, 2621-2631, 2008.

  91. McFarland, J. M., and Mahadevan, S., “Multivariate Significance Testing and Model Calibration under Uncertainty,” Computer Methods in Applied Mechanics and Engineering, Vol. 197, pp. 2467-2479, 2008.

  90. McDonald, M., and Mahadevan, S., “Reliability-Based Optimization with Discrete and Continuous Decision and Random Variables,” Journal of Mechanical Design, ASCE, Vol. 130, pp. 061401-1 to 061401-13, June 2008.

  89. Zou, T., Z. Mourelatos, Mahadevan, S., and J. Tu, “An Indicator Response Surface Method for Simulation-Based Reliability Analysis,” Journal of Mechanical Design, ASME, Vol. 130, pp. 071401-1 to 071401-11, July 2008.

  88. Guratzsch, R. F., and Mahadevan, S., “Structural Health Monitoring Sensor Placement Optimization Under Uncertainty,” AIAA Journal, Vol. 48, No. 7, pp. 1281-1289, 2010.

  87. Jiang, X. and Mahadevan, S., "Bayesian Validation Assessment of Multivariate Computational Models," Journal of Applied Statistics, Vol. 35, No. 1, pp. 49-65, 2008.

  86. Rebba, R., and Mahadevan, S., “Computational Methods for Model Reliability Assessment,” Reliability Engineering and System Safety, Vol. 93, No. 8, pp. 1197-1207, 2008.

  85. Jiang, X., and Mahadevan, S., “Bayesian Wavelet Methodology for Structural Damage Detection,” Structural Control and Health Monitoring, Vol. 15, pp, 974-991, 2008.

  84. McDonald, M., and Mahadevan, S., “Design Optimization with System-Level Reliability Constraints,” Journal of Mechanical Design, ASME, Vol. 130, pp. 021403-1 to 021403-10, February 2008.

  83. Chen, D., and Mahadevan, S., “Chloride-Induced Reinforcement Corrosion and Concrete Cracking Simulation,” Cement and Concrete Composites, Vol. 30, pp. 227-238, No. 3, 2008.

  82. Liu, Y., L. Liu, B. Stratman, and Mahadevan, S., “Multiaxial Fatigue Reliability Analysis of Railroad Wheels,” Reliability Engineering and System Safety, Vol. 93, No. 3, pp. 456-467, 2008.

  81. Liu, Y., Liu, L., and Mahadevan, S., “Analysis of subsurface crack propagation under rolling contact loading in railroad wheels using FEM,” Engineering Fracture Mechanics, Vol. 74, No. 17, pp. 2659-2674, 2007.

  80. Stratman, B., Y. Liu, and Mahadevan, S., “Structural Health Monitoring of Railroad Wheels Using Wheel Impact Load Detectors,” Journal of Failure Analysis and Prevention, Vol. 7, No. 3, pp. 218-225, 2007.

  79. Liu Y., and Mahadevan, S., “Threshold intensity factor and crack growth rate prediction under mixed-mode loading,” Engineering Fracture Mechanics, Vol. 74, No. 3, pp. 332-345, 2007.

  78. Liu, Y., and Mahadevan, S., “Stochastic Fatigue Damage Modeling Under Variable Amplitude Loading,” International Journal of Fatigue, Vol. 29, No. 6, pp. 1149-1161, 2007.

  77. Chen, D., and Mahadevan, S., “Cracking Analysis of Plain Concrete Under Coupled Heat Transfer and Moisture Transport Processes,” Journal of Structural Engineering, ASCE, Vol. 133, No. 3, pp. 400-410, 2007.

  76. Liu, Y., and Mahadevan, S., “A Unified Multiaxial Fatigue Damage Model for Isotropic and Anisotropic Materials,” International Journal of Fatigue, Vol. 29, No. 2, pp. 347-359, 2007.

  75. Huang, S., Mahadevan, S., and R. Rebba, “Collocation-Based Stochastic Finite Element Analysis for Random Field Problems,” Probabilistic Engineering Mechanics, Vol. 22, No. 2, pp. 194-205, 2007.

  74. Chiralaksanakul, A., and Mahadevan, S., "Decoupled Approach to Multidisciplinary Optimization Under Uncertainty," Optimization and Engineering, Vol. 8, No. 1, pp. 21-42, 2007.

  73. Jiang, X., and Mahadevan, S., “Bayesian Risk-Based Decision Method for Model Validation Under Uncertainty,” Reliability Engineering and System Safety, Vol. 92, No. 6, pp. 707-718, 2007.

  72. Jiang, X., Mahadevan, S., H. Adeli, “Bayesian Wavelet Packet Denoising for Structural System Identification,” Structural Control and Health Monitoring, Vol. 14, No. 2, pp. 333-356, 2007.

  71. Jiang, X., and Mahadevan, S., “Bayesian Cross-Entropy Methodology for Optimum Design of Validation Experiments,” Measurement Science and Technology, Vol. 17, No. 7, pp. 1895-1908, 2006.

  70. L. R. Xu, V. Bhamidipati, and Mahadevan, S., “Shear-lag Analysis of Constrained Shear Cracking in Reinforced Concrete Slabs,” Journal of Failure Analysis and Prevention, Vol. 6, No. 2, pp. 57-66, 2006.

  69. Rebba, R., and Mahadevan, S., “Model Predictive Capability Assessment Under Uncertainty,” AIAA Journal, Vol. 44, No. 10, pp. 2376-2384, 2006.

  68. Mahadevan, S., and R. Rebba, “Inclusion of Model Errors in Reliability-Based Optimization,” Journal of Mechanical Design, ASME, Vol. 128, No. 4, pp. 936-944, 2006.

  67. Liu, Y., Stratman, B., and Mahadevan, S., “Fatigue Crack Initiation Life Prediction of Railroad Wheels,” International Journal of Fatigue, Vol. 28, No. 7, pp. 747-756, 2006.

  66. Liu, Y., Stratman, B., and Mahadevan, S., "Strain-Based Multiaxial Fatigue Damage Modeling," Fatigue and Fracture of Engineering Materials, Vol. 28, Issue 12, pp. 1177, 2005.

  65. Zou, T., and Mahadevan, S., "Versatile Formulation for Multiobjective Reliability-Based Design Optimization," Journal of Mechanical Design, ASME, Vol. 128, No. 6, pp. 1217-1226, 2006.

  64. Mahadevan, S., and N. Smith, “Efficient First-Order Reliability Analysis of Multidisciplinary Systems,” International Journal of Reliability and Safety, Vol. 1, Nos.1-2, pp. 137-154, 2006.

  63. Choi, H.-H., Lee, S.-Y., Choi, I.-Y., Cho, H.-N., and Mahadevan, S., “Reliability-Based Failure Cause Assessment of Collapsed Bridge During Construction,” Reliability Engineering and System Safety, Vol. 91, No. 6, pp. 674-688, 2006.

  62. Rebba, R., and Mahadevan, S., “Validation of Computational Models with Multivariate Output,” Reliability Engineering and System Safety, Vol. 91, No. 8, pp 861-871, 2006.

  61. Rebba, R., and Mahadevan, S., "Validation and Error Estimation of Computational Models," Reliability Engineering and System Safety, Vol. 91, No. 10-11, pp. 1390-1397, 2006.

  60. Zou, T., and Mahadevan, S., "A Direct Decoupling Approach for Efficient Reliability-Based Design Optimization," Structural and Multidisciplinary Optimization, Vol. 31, No. 3, pp. 190-200, 2006.

  59. Rebba, R., Mahadevan, S., S. Huang, and Y. Liu, "Statistical Validation of Simulation Models," International Journal of Materials and Product Technology, Vol. 25, Nos. 1-3, pp. 164-181, 2006.

  58. Zou, T., Mahadevan, S., and Z. Mourelatos, "Adaptive Trust Regions and Response Surfaces for Reliability Analysis," International Journal of Materials and Product Technology, Vol. 25, Nos. 1-3, pp. 84-98, 2006.

  57. Li, Y., LeBoeuf, E., Basu, P.K., and Mahadevan, S., "Stochastic Modeling of the Permeability of Randomly Generated Porous Media," Advances in Water Resources, Vol. 28, No. 8, pp. 835-844, 2005.

  56. Hester, P., Thomas, L., and Mahadevan, S., “Reliability-Based Shipboard Facility Optimization,” Journal of Ship Production, Vol. 21, No. 4, pp. 235-247, 2005.

  55. Chiralaksanakul, A., and Mahadevan, S., "First-Order Methods for Reliability-Based Optimization," ASME Journal of Mechanical Design, Vol. 127, No. 5, pp. 851-857, 2005.

  54. Liu, Y. M., and Mahadevan, S., “Multiaxial High Cycle Fatigue Criterion and Life Prediction for Metals,” International Journal of Fatigue, Vol. 27, No. 7, pp. 790-800, 2005.

  53. Mahadevan, S., B. Hollander, K. Ni, and H. Mao, "Reliability Analysis of Stiffness Degradation in Automotive Spot-Welded Joints with High Mileage," International Journal of Reliability, Quality and Safety Engineering, Vol. 12, No. 1, pp. 1-17, 2005.

  52. Liu, Y. M., and Mahadevan, S., "Probabilistic Fatigue Life Prediction of Multidirectional Composite Laminates," Composite Structures, Vol. 69, No. 1, pp. 11-19, 2005.

  51. Smith, N., and Mahadevan, S., "Probabilistic Design of Aerospace Vehicles: Coupling Global and Local Requirements", Journal of Spacecraft and Rockets, Vol. 42, No. 4, pp. 752-760, 2005.

  50. Mahadevan, S., and Rebba, R., “Validation of Reliability Computational Models Using Bayes Networks,” Reliability Engineering and System Safety, Vol. 87, No. 1, pp. 223-232, 2005.

  49. Zou, T., Z. Mourelatos, and Mahadevan, S., “Reliability Analysis Using Monte Carlo Simulation and Response Surface Methods,” SAE 2004 Transactions Journal of Materials and Manufacturing, Paper No. 2004-01-1431, pp. 140-147, 2004.

  48. Knight, M.L., G.S. Wilson, W.J. Seger, and Mahadevan, S., "Overlay Types Used as Preventive Maintenance on Tennessee Bridge Decks," Transportation Research Record, No. 1866, pp. 79-84, 2004.

  47. Ni, K., and Mahadevan, S., "Probabilistic Fatigue Crack Growth Analysis of Spot-Welded Joints," Fatigue and Fracture of Engineering Materials and Structures, Vol. 27, No. 6 pp. 473-480, 2004.

  46. Ni, K., and Mahadevan, S., "Strain-Based Probabilistic Fatigue Life Prediction of Spot-Welded Joints," International Journal of Fatigue, Vol. 26, No. 7, pp. 763-772, 2004.

  45. Mahadevan, S., and H. Mao, "Probabilistic Creep-Fatigue Life Prediction of Composite Materials," Journal of Reinforced Plastics and Composites, Vol. 23, No. 4, pp. 361-372, 2004.

  44. Zou, T., Mahadevan, S., and Z. Mourelatos, "Reliability Assessment of Automotive Wind Noise Quality," Reliability Engineering and System Safety, Vol. 82, pp. 217-224, 2003.

  43. Mahadevan, S., and K. Ni, "Damage Tolerance Reliability Analysis of Automotive Spot-Welded Joints," Reliability Engineering and System Safety, Vol. 81, No. 1, pp. 9-21, 2003.

  42. Mahadevan, S., and K. Ni, "Probabilistic Fatigue Life Prediction of Spot-Welded Joints," International Journal of Materials and Product Technology, Vol. 19, No. 6, pp. 479-497, 2003.

  41. P. Shi, and Mahadevan, S., "Corrosion Fatigue and Multiple Site Damage Reliability Analysis," International Journal of Fatigue, Vol. 25, No. 6, pp. 457-469, 2003.

  40. Zhang, R., and Mahadevan, S., "Bayesian Methodology for Reliability Model Acceptance," Reliability Engineering and System Safety, Vol. 80, No. 1, pp. 95-103, 2003.

  39. Smith, N., and Mahadevan, S., "Probabilistic Methods for Aerospace System Conceptual Design," Journal of Spacecraft and Rockets, AIAA, Vol. 40, No. 3, pp. 411-418, 2003.

  38. Mao, H., and Mahadevan, S., "Fatigue Damage Modeling of Composite Materials," Composite Structures, Vol. 58, No. 4, pp. 405-410, 2002.

  37. Zou, T., Mahadevan, S., Z. Mourelatos, P. Meernik, "Reliability Analysis of Automotive Body-Door Subsystem," Reliability Engineering and System Safety, Vol. 78, No. 3, pp. 315-324, 2002.

  36. Mao, H., and Mahadevan, S., “Probabilistic Analysis of Creep of Metal-Matrix Composites,” Journal of Reinforced Plastics and Composites, Vol. 21, No. 7, pp. 587-602, 2002.

  35. Mahadevan, S., and X. Liu, " Probabilistic Analysis of Composite Structure Ultimate Strength," AIAA Journal, Vol. 40, No. 7, pp. 1408-1414, 2002.

  34. Tryon, R., A. Dey, and Mahadevan, S., "Optimizing the Design of Mechanical Components for Reliability and Cost," International Journal of Materials and Product Technology, Vol. 17, No. 5-6, pp. 338-352, 2002.

  33. Mahadevan, S., and Y. Zhao, "Advanced Computer Simulation of Metal Alloy Microstructure," Computer Methods in Applied Mechanics and Engineering, Vol. 191, No. 34, pp. 3651-3667, 2002.

  32. Mahadevan, S., Zhang, R., and N. Smith, “Bayesian Networks for System Reliability Reassessment,” Structural Safety, Vol. 23 (3), pp. 231-251, 2001.

  31. Mahadevan, S., A. Dey, R. Tryon, Y. Wang, and C. Rousseau, "Reliability Analysis of Rotorcraft Composite Structures," Journal of Aerospace Engineering, ASCE, Vol. 14, No. 4, pp. 140-146, 2001.

  30. Mahadevan, S., and P. Shi, "Corrosion Fatigue Reliability of Aging Aircraft Structures," Progress in Structural Engineering and Materials, Vol. 3, No. 2, pp. 188-197, 2001.

  29. Zhang, R., and Mahadevan, S., "Integration of Computation and Testing for Reliability Estimation," Reliability Engineering and System Safety, Vol. 74, No. 1, pp. 13-21, 2001.

  28. Mahadevan, S., and R. Zhang, “Life Estimation through Integration of Accelerated Testing and Reliability Computation,” International Journal of Advanced Manufacturing Systems, Vol. 4, No. 1, pp. 35-48, 2001.

  27. Shi, P., and Mahadevan, S., "Damage Tolerance Approach for Probabilistic Pitting Corrosion Life Prediction," Engineering Fracture Mechanics, Vol. 68, No. 13, pp. 1493-1507, 2001.

  26. Mahadevan, S., and P. Raghothamachar, "Reliability Analysis of Space Exploration Truss Support Structures," Journal of Spacecraft and Rockets, AIAA, Vol. 38, No. 5, pp. 789-794, 2001.

  25. Mahadevan, S., and P. Shi, "Multiple Linearization Method for Nonlinear Reliability Analysis," ASCE Journal of Engineering Mechanics, Vol. 127, No. 11, pp. 1165-1173, 2001.

  24. Zhang, R., and Mahadevan, S., “Fatigue Reliability Analysis using Non-Destructive Inspection,” ASCE Journal of Structural Engineering, Vol. 127, No. 8, pp. 957-966, 2001.

  23. Mahadevan, S., and R. Zhang, "Fatigue Test Planning Using Reliability and Confidence Simulation," International Journal of Materials and Product Technology, Vol. 16, Nos. 4-6, pp. 317-332, 2001.

  22. Zhang, R., and Mahadevan, S., "Reliability-Based Reassessment of Corrosion Fatigue Life," Structural Safety, Vol. 23, pp. 77-91, 2001.

  21. Mao, H., and Mahadevan, S., "Reliability Analysis of Creep Fatigue Failure," International Journal of Fatigue, Vol. 22, No. 9, pp. 789-797, 2000.

  20. Mahadevan, S. " Stochastic Sensitivity Analysis and Synthesis of Large Structural Systems," International Journal of Applied Science and Computations, Vol. 7, No. 2, pp. 96-116, 2000.

  19. Mahadevan, S., and P. Raghothamachar, "Adaptive Simulation for System Reliability Analysis of Large Structures," Computers and Structures, Vol. 77, No. 6, pp. 725-734, 2000.

  18. Zhang, R., and Mahadevan, S., "Model Uncertainty and Bayesian Updating in Reliability-Based Inspection," Structural Safety, Vol. 22, pp. 145-160, 2000.

  17. Dey, A., and Mahadevan, S., "Reliability of Brittle Structures with Time-Variant Loads and Resistances," Journal of Structural Engineering, ASCE, Vol. 126, No. 5, pp. 612-620, 2000.

  16. Liu, X., and Mahadevan, S., "Ultimate Strength Failure Probability of Composite Structures," Journal of Reinforced Plastics and Composites, Vol. 19, No. 5, pp. 403-426, 2000.

  15. Dey, A., and Mahadevan, S., "Ductile System Reliability Analysis Using Adaptive Importance Sampling," Structural Safety, Vol. 20, pp. 137-154, 1998.

  14. Mahadevan, S., and X. Liu, "Probabilistic Optimum Design of Composite Structures," Journal of Composite Materials, Vol. 32, No. 1, pp. 68-82, 1998.

  13. Mahadevan, S., X. Liu, and Q. Xiao, "A Probabilistic Progressive Failure Model for Composite Laminates," Journal of Reinforced Plastics and Composites, Vol. 16, No. 11, pp. 1020-1038, 1997.

  12. Mahadevan, S., and A. Dey, " Adaptive Monte Carlo Simulation for Time-Variant Reliability Analysis of Brittle Structures," AIAA Journal, Vol. 35, No. 2, pp. 321-326, 1997.

  11. Tryon, R.G., T.A. Cruse, and Mahadevan, S., "Development of a Reliability-Based Fatigue Life Model for Gas Turbine Engine Structures," Engineering Fracture Mechanics, Vol. 53, No. 5, pp. 807-828, 1996.

  10. Mahadevan, S., and Q. Xiao, "Time-Variant Reliability of Brittle Structural Systems," Journal of Engineering Mechanics, ASCE, Vol. 121, No. 3, pp. 414-423, 1995.

  9. Cruse, T.A., Mahadevan, S., Q. Huang, and S. Mehta, "Mechanical System Reliability and Risk Assessment," AIAA Journal, Vol. 32, No. 11, pp. 2249-2259, 1994.

  8. Xiao, Q., and Mahadevan, S., "Plasticity Effects on Frame Member Reliability," Structural Safety, Vol. 116, pp. 201-214, 1994.

  7. Xiao, Q., and Mahadevan, S., "Fast Failure Mode Identification for Ductile Structural System Reliability," Structural Safety, Vol. 13, No. 4, pp. 207-226, 1994.

  6. Xiao, Q., and Mahadevan, S., "Second-Order Upper Bounds on Probability of Intersection of Failure Events," Journal of Engineering Mechanics, ASCE, Vol. 120, No. 3, pp. 670-674, 1994.

  5. Mahadevan, S., and S. Mehta, "Dynamic Reliability of Large Frames,” Computers and Structures, Vol. 47, No. 1, pp. 57-67, 1993.

  4. Mahadevan, S., "Probabilistic Optimum Design of Framed Structures," Computers and Structures, Vol. 42, No. 3, pp. 365-374, 1992.

  3. Mahadevan, S., and A. Haldar, "Practical Random Field Discretization for Stochastic Finite Element Analysis," Journal of Structural Safety, Vol. 9, No. 4, pp. 283-302, July 1991.

  2. Mahadevan, S., and A. Haldar, " Stochastic FEM-Based Validation of LRFD," Journal of Structural Engineering, ASCE, Vol. 117, No. 5, pp.1393-1412, May 1991.

  1. Mahadevan, S., and A. Haldar, "Efficient Algorithm for Stochastic Structural Optimization," Journal of Structural Engineering, ASCE, Vol. 115, No. 7, pp. 1579-1598, July 1989.

• Listing by topics

  Analytical Reliability Methods
  
  1. Mahadevan, S., and P. Shi, "Multiple Linearization Method for Nonlinear Reliability Analysis," ASCE Journal of Engineering Mechanics, Vol. 127, No. 11, pp. 1165-1173, 2001.
  
  2. Zou, T., S. Mahadevan, and Z. Mourelatos, "Adaptive Trust Regions and Response Surfaces for Reliability Analysis," International Journal of Materials and Product Technology, Vol. 25, Nos. 1-3, pp. 84-98, 2006.
  
  3. Mahadevan, S., and N. Smith, “Efficient First-Order Reliability Analysis of Multidisciplinary Systems,” International Journal of Reliability and Safety, Vol. 1, Nos.1-2, pp. 137-154, 2006.
  
  4. Bichon, B.J., M. S. Eldred, L. P. Swiler, S. Mahadevan, J. M. McFarland, “Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions,” AIAA Journal, Vol. 46, No. 10, pp. 2459-2468, 2008.
  
  
  
  
  System Reliability
  
  1. Xiao, Q., and S. Mahadevan, "Second-Order Upper Bounds on Probability of Intersection of Failure Events," Journal of Engineering Mechanics, ASCE, Vol. 120, No. 3, pp. 670-674, 1994.
  
  2. Xiao, Q., and S. Mahadevan, "Fast Failure Mode Identification for Ductile Structural System Reliability," Structural Safety, Vol. 13, No. 4, pp. 207-226,1994.
  
  3. Xiao, Q., and S. Mahadevan, "Plasticity Effects on Frame Member Reliability," Structural Safety, Vol. 116, pp. 201-214, 1994.
  
  4. Cruse, T.A., S. Mahadevan, Q. Huang, and S. Mehta, "Mechanical System Reliability and Risk Assessment," AIAA Journal, Vol. 32, No. 11, pp. 2249-2259, 1994.
  
  5. Mahadevan, S., and Q. Xiao, "Time-Variant Reliability of Brittle Structural Systems," Journal of Engineering Mechanics, ASCE, Vol. 121, No. 3, pp. 414-423, 1995.
  
  6. Mahadevan, S., X. Liu, and Q. Xiao, "A Probabilistic Progressive Failure Model for Composite Laminates," Journal of Reinforced Plastics and Composites, Vol. 16, No. 11, pp. 1020-1038, 1997.
  
  7. Liu, X., and S. Mahadevan, "Ultimate Strength Failure Probability of Composite Structures," Journal of Reinforced Plastics and Composites, Vol. 19, No. 5, pp. 403-426, 2000.
  
  8. Dey, A., and S. Mahadevan, "Reliability of Brittle Structures with Time-Variant Loads and Resistances," Journal of Structural Engineering, ASCE, Vol. 126, No. 5, pp. 612-620, 2000.
  
  9. Mahadevan, S., and X. Liu, "Probabilistic Analysis of Aircraft Wing Ultimate Strength," AIAA Journal, Vol. 40, No. 7, pp. 1408-1414, 2002.
  
  10. Zou, T., S. Mahadevan, and Z. Mourelatos, "Reliability Assessment of Automotive Wind Noise Quality," Reliability Engineering and System Safety, Vol. 82, pp. 217-224, 2003.
  
  11. Bichon, B.J., J. M. MCFarland, and S. Mahadevan, “ Efficient Surrogate Models for Reliability Analysis of Systems with Multiple Failure Modes,” Reliability Engineering and System Safety, Vol. 96, No. 10, pp. 1386-1395, 2011.
  
  12. Choi, H.-H., Lee, S.-Y., Choi, I.-Y., Cho, H.-N., and S. Mahadevan, “Reliability-Based Failure Cause Assessment of Collapsed Bridge During Construction,” Reliability Engineering and System Safety, Vol. 91, No. 6, pp. 674-688, 2006.
  
  
  
  
  Advanced Monte Carlo Methods
  
  1. Mahadevan, S., and A. Dey, "Adaptive Monte Carlo Simulation for Time-Dependent Reliability Analysis," AIAA Journal, Vol. 35, No. 2, pp. 321-326, 1997.
  
  2. Dey, A., and S. Mahadevan, "Ductile System Reliability Analysis Using Adaptive Importance Sampling," Structural Safety, Vol. 20, pp. 137-154, 1998.
  
  3. Mahadevan, S., and P. Raghothamachar, "Adaptive Simulation for System Reliability Analysis of Large Structures," Computers and Structures, Vol. 77, No. 6, pp. 725-734, 2000.
  
  4. Mahadevan, S., and P. Raghothamachar, "Reliability Analysis of Space Exploration Truss Support Structures," Journal of Spacecraft and Rockets, AIAA, Vol. 38, No. 5, pp. 789-794, 2001.
  
  5. Mahadevan, S., and Y. Zhao, "Advanced Computer Simulation of Metal Alloy Microstructure," Computer Methods in Applied Mechanics and Engineering, Vol. 191, No. 34, pp. 3651-3667, 2002.
  
  6. Zou, T., Z. Mourelatos, and S. Mahadevan, “Reliability Analysis Using Monte Carlo Simulation and Response Surface Methods,” SAE 2004 Transactions Journal of Materials and Manufacturing, Paper No. 2004-01-1431, pp. 140-147, 2004.
  
  7. Zou, T., Z. Mourelatos, S. Mahadevan, and J. Tu, “An Indicator Response Surface Method for Simulation-Based Reliability Analysis,” Journal of Mechanical Design, ASME, Vol. 130, pp. 071401-1 to 071401-11, July 2008.
  
  
  
  
  Stochastic FEM
  
  1. Mahadevan, S., and A. Haldar, " Stochastic FEM-Based Validation of LRFD," Journal of Structural Engineering, ASCE, Vol. 117, No. 5, pp.1393-1412, May 1991.
  
  2. Mahadevan, S., and A. Haldar, "Practical Random Field Discretization for Stochastic Finite Element Analysis," Journal of Structural Safety, Vol. 9, No. 4, pp. 283-302, July 1991.
  
  3. Mahadevan, S., and S. Mehta, "Dynamic Reliability of Large Frames,” Computers and Structures, Vol. 47, No. 1, pp. 57-67, 1993.
  
  4. Mahadevan, S. "Stochastic Sensitivity Analysis and Synthesis of Large Structural Systems," International Journal of Applied Science and Computations, Vol. 7, No. 2, pp. 96-116, 2000.
  
  5. Huang, S., S. Mahadevan, and R. Rebba, “Collocation-Based Stochastic Finite Element Analysis for Random Field Problems,” Probabilistic Engineering Mechanics, Vol. 22, No. 2, pp. 194-205, 2007.
  
  6. Li, Y., LeBoeuf, E., Basu, P.K., and S. Mahadevan, "Stochastic Modeling of the Permeability of Randomly Generated Porous Media," Advances in Water Resources, Vol. 28, No. 8, pp. 835-844, 2005.
  
  
  
  
  Data Uncertainty
  
  1. Zaman, K., McDonald, M., and S. Mahadevan, “A Probabilistic Approach for Representation of Interval Uncertainty,” Reliability Engineering and System Safety, Vol. 96, No. 1, pp. 117-130, 2011.
  
  2. Zaman, K., M. McDonald, and S. Mahadevan, “Probabilistic Framework for Propagation of Aleatory and Epistemic Uncertainty,” ASME Journal of Mechanical Design, Vol. 133, No.2, pp. 021010-1 to 021010-14, 2011.
  
  3. Sankararaman, S., and S. Mahadevan, “ Likelihood-Based Representation of Epistemic Uncertainty due to Sparse Point Data and Interval Data,” Reliability Engineering and System Safety.
  
  
  
  
  Model Uncertainty (Verification, Validation, and Callibration)
  
  1. Zhang, R., and S. Mahadevan, "Bayesian Methodology for Reliability Model Acceptance," Reliability Engineering and System Safety, Vol. 80, No. 1, pp. 95-103, 2003.
  
  2. Rebba, R., S. Mahadevan, S. Huang, and Y. Liu, "Statistical Validation of Simulation Models," International Journal of Materials and Product Technology, Vol. 25, Nos. 1-3, pp. 164-181, 2006.
  
  3. Rebba, R., and S. Mahadevan, "Validation and Error Estimation of Computational Models," Reliability Engineering and System Safety, Vol. 91, No. 10-11, pp. 1390-1397, 2006.
  
  4. Rebba, R., and S. Mahadevan, “Validation of Computational Models with Multivariate Output,” Reliability Engineering and System Safety, Vol. 91, No. 8, pp 861-871, 2006.
  
  5. Rebba, R., and S. Mahadevan, “Model Predictive Capability Assessment Under Uncertainty,” AIAA Journal, Vol. 44, No. 10, pp. 2376-2384, 2006.
  
  6. Jiang, X., and S. Mahadevan, “Bayesian Cross-Entropy Methodology for Optimum Design of Validation Experiments,” Measurement Science and Technology, Vol. 17, No. 7, pp. 1895-1908, 2006.
  
  7. Jiang, X., and S. Mahadevan, “Bayesian Risk-Based Decision Method for Model Validation Under Uncertainty,” Reliability Engineering and System Safety, Vol. 92, No. 6, pp. 707-718, 2007.
  
  8. Rebba, R., and S. Mahadevan, “Computational Methods for Model Reliability Assessment,” Reliability Engineering and System Safety, Vol. 93, No. 8, pp. 1197-1207, 2008.
  
  9. Jiang, X. and S. Mahadevan, "Bayesian Validation Assessment of Multivariate Computational Models," Journal of Applied Statistics, Vol. 35, No. 1, pp. 49-65, 2008.
  
  10. McFarland, J. M., and S. Mahadevan, “Multivariate Significance Testing and Model Calibration under Uncertainty,” Computer Methods in Applied Mechanics and Engineering, Vol. 197, pp. 2467-2479, 2008.
  
  11. McFarland, J.M., and S. Mahadevan, “Error and Variability Characterization in Structural Dynamics Modeling,” Computer Methods in Applied Mechanics and Engineering, Vol. 197, 2621-2631, 2008.
  
  12. Jiang, X. and S. Mahadevan, "Bayesian Wavelet Method for Multivariate Model Assessment of Dynamic Systems," Journal of Sound and Vibration, Vol. 312, pp. 694-712, 2008.
  
  13. McFarland, J.M., S. Mahadevan, V. Romero, and L. P. Swiler, “Calibration and Uncertainty Analysis for Computer Simulations with Multivariate Output,” AIAA Journal, Vol. 46, No. 5, pp. 1253-1265, 2008.
  
  14. Jiang, X., and S. Mahadevan, “Bayesian Structural Equation Modeling for Hierarchical Model Validation,” Reliability Engineering and System Safety, Vol. 94, No. 4, pp. 796-809, 2009.
  
  15. Jiang, X., and S. Mahadevan, “Bayesian Inference Method for Model Validation and Confidence Extrapolation,” Journal of Applied Statistics, Vol. 36, No. 6, pp. 659-677, 2009.
  
  16. Jiang, X., and S. Mahadevan, “Bayesian Hierarchical Uncertainty Quantification by Structural Equation Modeling,” International Journal of Numerical Methods in Engineering, Vol. 80, Nos. 6-7, pp. 717-737, 2009.
  
  17. Jiang, X., and S. Mahadevan, “Bayesian Nonlinear Structural Equation Modeling for Hierarchical Validation of Dynamic Systems,” Journal of Mechanical Systems and Signal Processing, Vol. 24, No. 4, pp. 957-975, 2010.
  
  18. Jiang, X. and Mahadevan, S., "Wavelet Spectrum Analysis for Model Validation of Dynamic Systems," Mechanical Systems and Signal Processing, Vol. 25, No. 2, pp. 575-590, 2011.
  
  19. Sankararaman, S., and S. Mahadevan, “Model Validation Under Epistemic Uncertainty,” Reliability Engineering and System Safety, 2011.
  
  20. Liang, B., and S. Mahadevan, “ Error and Uncertainty Quantification and Sensitivity Analysis of Mechanics Computational Models,” International Journal for Uncertainty Quantification.
  
  21. Rangavajhala, S., V. Sura, V. Hombal, and S. Mahadevan, “Discretization Error Estimation in Multidisciplinary Simulations,” AIAA Journal, 2011, accepted, in press
  
  22. Mahadevan, S., Zhang, R., and N. Smith, “Bayesian Networks for System Reliability Reassessment,” Structural Safety, Vol. 23 (3), pp. 231-251, 2001.
  
  23. Mahadevan, S., and Rebba, R., “Validation of Reliability Computational Models Using Bayes Networks,” Reliability Engineering and System Safety, Vol. 87, No. 1, pp. 223-232, 2005.
  
  24. Urbina, A., S. Mahadevan, T. Paez,“ Quantification of Margins and Uncertainties of Complex Systems in the Presence of Aleatoric and Epistemic Uncertainty ,” Reliability Engineering and System Safety, Vol. 96, No. 9, pp. 1114-1125, 2011.
  
  25. Zhang, R., and S. Mahadevan, "Model Uncertainty and Bayesian Updating in Reliability-Based Inspection," Structural Safety, Vol. 22, pp. 145-160, 2000.
  
  26. Zhang, R., and Mahadevan, S., "Integration of Computation and Testing for Reliability Estimation," Reliability Engineering and System Safety, Vol. 74, No. 1, pp. 13-21, 2001.
  
  
  
  
  Materials Durability
  
  1. Tryon, R.G., T.A. Cruse, and S. Mahadevan, "Development of a Reliability-Based Fatigue Life Model for Gas Turbine Engine Structures,",Engineering Fracture Mechanics, Vol. 53, No. 5, pp. 807-828, 1996.
  
  2. Mao, H., and S. Mahadevan, "Reliability Analysis of Creep Fatigue Failure," International Journal of Fatigue, Vol. 22, No. 9, pp. 789-797, 2000.
  
  3. Zhang, R., and S. Mahadevan, "Reliability-Based Reassessment of Corrosion Fatigue Life," Structural Safety, Vol. 23, pp. 77-91, 2001.
  
  4. Mahadevan, S., and R. Zhang, "Fatigue Test Planning Using Reliability and Confidence Simulation," International Journal of Materials and Product Technology, Vol. 16, Nos. 4-6, pp. 317-332, 2001.
  
  5. Zhang, R., and S. Mahadevan, “Fatigue Reliability Analysis using Non-Destructive Inspection,” ASCE Journal of Structural Engineering, Vol. 127, No. 8, pp. 957-966, 2001.
  
  6. Shi, P., and S. Mahadevan, "Damage Tolerance Approach for Probabilistic Pitting Corrosion Life Prediction," Engineering Fracture Mechanics, Vol. 68, No. 13, pp. 1493-1507, 2001.
  
  7. Mahadevan, S., and R. Zhang, “Life Estimation through Integration of Accelerated Testing and Reliability Computation,” International Journal of Advanced Manufacturing Systems, Vol. 4, No. 1, pp. 35-48, 2001.
  
  8. Mahadevan, S., and P. Shi, "Corrosion Fatigue Reliability of Aging Aircraft Structures," Progress in Structural Engineering and Materials, Vol. 3, No. 2, pp. 188-197, 2001.
  
  9. Mahadevan, S., A. Dey, R. Tryon, Y. Wang, and C. Rousseau, "Reliability Analysis of Rotorcraft Composite Structures," Journal of Aerospace Engineering, ASCE, Vol. 14, No. 4, pp. 140-146, 2001.
  
  10. Mao, H., and S. Mahadevan, “Probabilistic Analysis of Creep of Metal-Matrix Composites,” Journal of Reinforced Plastics and Composites, Vol. 21, No. 7, pp. 587-602, 2002.
  
  11. Zou, T., S. Mahadevan, Z. Mourelatos, P. Meernik, "Reliability Analysis of Automotive Body-Door Subsystem," Reliability Engineering and System Safety, Vol. 78, No. 3, pp. 315-324, 2002.
  
  12. Mao, H., and S. Mahadevan, "Fatigue Damage Modeling of Composite Materials," Composite Structures, Vol. 58, No. 4, pp. 405-410, 2002.
  
  13. P. Shi, and S. Mahadevan, "Corrosion Fatigue and Multiple Site Damage Reliability Analysis," International Journal of Fatigue, Vol. 25, No. 6, pp. 457-469, 2003.
  
  14. Mahadevan, S., and K. Ni, "Probabilistic Fatigue Life Prediction of Spot-Welded Joints," International Journal of Materials and Product Technology, Vol. 19, No. 6, pp. 479-497, 2003.
  
  15. Mahadevan, S., and K. Ni, "Damage Tolerance Reliability Analysis of Automotive Spot-Welded Joints," Reliability Engineering and System Safety, Vol. 81, No. 1, pp. 9-21, 2003.
  
  16. Mahadevan, S., and H. Mao, "Probabilistic Creep-Fatigue Life Prediction of Composite Materials," Journal of Reinforced Plastics and Composites, Vol. 23, No. 4, pp. 361-372, 2004.
  
  17. Ni, K., and S. Mahadevan, "Strain-Based Probabilistic Fatigue Life Prediction of Spot-Welded Joints," International Journal of Fatigue, Vol. 26, No. 7, pp. 763-772, 2004.
  
  18. Ni, K., and S. Mahadevan, "Probabilistic Fatigue Crack Growth Analysis of Spot-Welded Joints," Fatigue and Fracture of Engineering Materials and Structures, Vol. 27, No. 6 pp. 473-480, 2004.
  
  19. Liu, Y. M., and S. Mahadevan, "Probabilistic Fatigue Life Prediction of Multidirectional Composite Laminates," Composite Structures, Vol. 69, No. 1, pp. 11-19, 2005.
  
  20. Mahadevan, S., B. Hollander, K. Ni, and H. Mao, "Reliability Analysis of Stiffness Degradation in Automotive Spot-Welded Joints with High Mileage," International Journal of Reliability, Quality and Safety Engineering, Vol. 12, No. 1, pp. 1-17, 2005.
  
  21. Liu, Y. M., and S. Mahadevan, “Multiaxial High Cycle Fatigue Criterion and Life Prediction for Metals,” International Journal of Fatigue, Vol. 27, No. 7, pp. 790-800, 2005.
  
  22. Liu, Y., Stratman, B., and S. Mahadevan, "Strain-Based Multiaxial Fatigue Damage Modeling," Fatigue and Fracture of Engineering Materials, Vol. 28, Issue 12, pp. 1177, 2005.
  
  23. Liu, Y., Stratman, B., and S. Mahadevan, “Fatigue Crack Initiation Life Prediction of Railroad Wheels,” International Journal of Fatigue, Vol. 28, No. 7, pp. 747-756, 2006.
  
  24. Liu, Y., and S. Mahadevan, “A Unified Multiaxial Fatigue Damage Model for Isotropic and Anisotropic Materials,” International Journal of Fatigue, Vol. 29, No. 2, pp. 347-359, 2007.
  
  25. Liu, Y., and S. Mahadevan, “Stochastic Fatigue Damage Modeling Under Variable Amplitude Loading,” International Journal of Fatigue, Vol. 29, No. 6, pp. 1149-1161, 2007.
  
  26. Liu Y., and S. Mahadevan, “Threshold intensity factor and crack growth rate prediction under mixed-mode loading,” Engineering Fracture Mechanics, Vol. 74, No. 3, pp. 332-345, 2007.
  
  27. Stratman, B., Y. Liu, and S. Mahadevan, “Structural Health Monitoring of Railroad Wheels Using Wheel Impact Load Detectors,” Journal of Failure Analysis and Prevention, Vol. 7, No. 3, pp. 218-225, 2007.
  
  28. Liu, Y., Liu, L., and S. Mahadevan, “Analysis of subsurface crack propagation under rolling contact loading in railroad wheels using FEM,” Engineering Fracture Mechanics, Vol. 74, No. 17, pp. 2659-2674, 2007.
  
  29. Liu, Y., L. Liu, B. Stratman, and S. Mahadevan, “Multiaxial Fatigue Reliability Analysis of Railroad Wheels,” Reliability Engineering and System Safety, Vol. 93, No. 3, pp. 456-467, 2008.
  
  30. Liu, Y., and S. Mahadevan, “Fatigue Limit Prediction of Notched Specimens using Short Crack Growth Theory and an Asymptotic Interpolation Method,” Engineering Fracture Mechanics, Vol. 76, No. 15, pp. 2317-2331, 2009.
  
  31. Liu, Y., and S. Mahadevan, “Probabilistic Damage Tolerance Analysis using Equivalent Initial Flaw Size Distribution,” International Journal of Fatigue, Vol. 31, No. 3, pp. 476-487, 2009.
  
  32. Liu, Y.M., and S. Mahadevan, “Efficient Methods for Time-Dependent Fatigue Reliability Analysis,” AIAA Journal, Vol .47, No. 3, pp. 494-504, 2009.
  
  33. Sankararaman, S., Y. Ling, and S. Mahadevan, “Statistical Estimation of EIFS in Structures with Complicated Geometry and Multi-axial Variable Amplitude Loading,” International Journal of Fatigue, Vol. 32, No. 10, pp. 1689-1700, 2010.
  
  34. Sankararaman, S., Y. Ling, and S. Mahadevan, “Inference of Equivalent Initial Flaw Size under Multiple Sources of Uncertainty,” International Journal of Fatigue, Vol. 33, No. 2, pp. 75-89, 2011.
  
  35. Sankararaman, S., Y. Ling, C. Shantz, S. Mahadevan, “Uncertainty Quantification in Fatigue Crack Growth Prognosis,” International Journal of Prognostics and Health Management.
  
  36. Sankararaman, S., Y. Ling, and S. Mahadevan, “Model Validation and Uncertainty Quantification of Fatigue Crack Growth Analysis,” Engineering Fracture Mechanics, Vol. 78, No. 7, pp. 1487-1504, 2011.
  
  37. Ling, Y., C. Shantz, and S. Mahadevan, “Stochastic Prediction of Fatigue Loading using Real-time Monitoring Data,” International Journal of Fatigue, Vol. 33, No. 7, pp. 75-89, 2011.
  
  38. Sura, V., and S. Mahadevan, “Modeling of Vertical Split Rim Cracking in Railroad Wheels,” Engineering Failure Analysis, Vol. 18, No.4, pp. 1171-1183, 2011.
  
  39. Sura, V., and S. Mahadevan, “Modeling of Shattered Rim Cracking in Railroad Wheels,” Journal of Rail and Rapid Transit, 2011, accepted, in press.
  
  40. L. R. Xu, V. Bhamidipati, and S. Mahadevan, “Shear-lag Analysis of Constrained Shear Cracking in Reinforced Concrete Slabs,” Journal of Failure Analysis and Prevention, Vol. 6, No. 2, pp. 57-66, 2006.
  
  41. Chen, D., and S. Mahadevan, “Cracking Analysis of Plain Concrete Under Coupled Heat Transfer and Moisture Transport Processes,” Journal of Structural Engineering, ASCE, Vol. 133, No. 3, pp. 400-410, 2007.
  
  42. Chen, D., and S. Mahadevan, “Chloride-Induced Reinforcement Corrosion and Concrete Cracking Simulation,” Cement and Concrete Composites, Vol. 30, pp. 227-238, No. 3, 2008.
  
  43. Sarkar, S., S. Mahadevan, J.C.L. Meeussen, H. van der Sloot, D.S. Kosson, “Numerical Simulation of Cementitious Materials Degradation Under External Sulfate Attack,” Cement and Concrete Composites, Vol. 32, No. 3, pp. 241-252, 2010.
  
  
  
  
  Structural Health Monitoring
  
  1. Jiang, X., S. Mahadevan, H. Adeli, “Bayesian Wavelet Packet Denoising for Structural System Identification,” Structural Control and Health Monitoring, Vol. 14, No. 2, pp. 333-356, 2007.
  
  2. Jiang, X., and S. Mahadevan, “Bayesian Wavelet Methodology for Structural Damage Detection,” Structural Control and Health Monitoring, Vol. 15, pp, 974-991, 2008.
  
  3. Guratzsch, R. F., and S. Mahadevan, “Structural Health Monitoring Sensor Placement Optimization Under Uncertainty,” AIAA Journal, Vol. 48, No. 7, pp. 1281-1289, 2010.
  
  4. Jiang, X., and S. Mahadevan, “Bayesian Probabilistic Inference for Nonparametric Damage Detection of Structures,” Journal of Engineering Mechanics, ASCE, Vol. 134, No. 10, 2008.
  
  5. Jiang, X., Mahadevan, S. and R. Guratzsch, "Bayesian Wavelet Methodology for Damage Detection of Thermal Protection System Panels," AIAA Journal, Vol. 47, No. 4, pp. 942-952, 2009.
  
  6. Abbas, A. M., S. Mahadevan, M. Daigle, and G. Biswas, “Structural and Sensor Damage Detection using Bond Graphs,” Structural Control and Health Monitoring, Vol. 17, No. 2, pp. 178-197, 2010.
  
  7. Sankararaman, S., and S. Mahadevan, “Uncertainty Quantification in Structural Damage Diagnosis,” Structural Control and Health Monitoring, 2010.
  
  8. Sankararaman, S., and S. Mahadevan, "Bayesian Methodology for Diagnosis Uncertainty Quantification and Health Monitoring", Structural Control and Health Monitoring, accepted, in press.
  
  9. Ling, Y., S. Mahadevan, "Integration of Structural Health Monitoring and Fatigue Damage Prognosis," Mechanical Systems and Signal Processing, accepted for publication.
  
  
  
  
  Optimization under Uncertainty
  
  1. Mahadevan, S., and A. Haldar, "Efficient Algorithm for Stochastic Structural Optimization," Journal of Structural Engineering, ASCE, Vol. 115, No. 7, pp. 1579-1598, July 1989.
  
  2. Mahadevan, S., "Probabilistic Optimum Design of Framed Structures,"Computers and Structures, Vol. 42, No. 3, pp. 365-374, 1992.
  
  3. Mahadevan, S., and X. Liu, "Probabilistic Optimum Design of Composite Structures," Journal of Composite Materials, Vol. 32, No. 1, pp. 68-82, 1998.
  
  4. Tryon, R., A. Dey, and S. Mahadevan, "Optimizing the Design of Mechanical Components for Reliability and Cost," International Journal of Materials and Product Technology, Vol. 17, No. 5-6, pp. 338-352, 2002.
  
  5. Smith, N., and S. Mahadevan, "Probabilistic Methods for Aerospace System Conceptual Design," Journal of Spacecraft and Rockets, AIAA, Vol. 40, No. 3, pp. 411-418, 2003.
  
  6. Smith, N., and S. Mahadevan, "Probabilistic Design of Aerospace Vehicles: Coupling Global and Local Requirements", Journal of Spacecraft and Rockets, Vol. 42, No. 4, pp. 752-760, 2005.
  
  7. Chiralaksanakul, A., and S. Mahadevan, "First-Order Methods for Reliability-Based Optimization," ASME Journal of Mechanical Design, Vol. 127, No. 5, pp. 851-857, 2005.
  
  8. Hester, P., Thomas, L., and S. Mahadevan, “Reliability-Based Shipboard Facility Optimization,” Journal of Ship Production, Vol. 21, No. 4, pp. 235-247, 2005.
  
  9. Zou, T., and S. Mahadevan, "A Direct Decoupling Approach for Efficient Reliability-Based Design Optimization," Structural and Multidisciplinary Optimization, Vol. 31, No. 3, pp. 190-200, 2006.
  
  10. Zou, T., and S. Mahadevan, "Versatile Formulation for Multiobjective Reliability-Based Design Optimization," Journal of Mechanical Design, ASME, Vol. 128, No. 6, pp. 1217-1226, 2006.
  
  11. Mahadevan, S., and R. Rebba, “Inclusion of Model Errors in Reliability-Based Optimization,” Journal of Mechanical Design, ASME, Vol. 128, No. 4, pp. 936-944, 2006.
  
  12. Chiralaksanakul, A., and S. Mahadevan, "Decoupled Approach to Multidisciplinary Optimization Under Uncertainty," Optimization and Engineering, Vol. 8, No. 1, pp. 21-42, 2007.
  
  13. McDonald, M., and S. Mahadevan, “Design Optimization with System-Level Reliability Constraints,” Journal of Mechanical Design, ASME, Vol. 130, pp. 021403-1 to 021403-10, February 2008.
  
  14. McDonald, M., and S. Mahadevan, “Reliability-Based Optimization with Discrete and Continuous Decision and Random Variables,” Journal of Mechanical Design, ASCE, Vol. 130, pp. 061401-1 to 061401-13, June 2008.
  
  15. Rangavajhala, S., and S. Mahadevan, “Joint Probability Formulation for Multi-Objective Optimization Under Uncertainty,” ASME Journal of Mechanical Design.
  
  16. Zaman, K., M. McDonald, S. Mahadevan, and L. Green, “Robustness-Based Design Optimization under Data Uncertainty,” Structural and Multidisciplinary Optimization.
  
  17. Stratman, B., S. Mahadevan, C. Li, G. Biswas, “ Identification of Critical Inspection Samples among Railroad Wheels,” Integrated Computer-Aided Engineering, accepted, in press
  
  
  
  
  System of Systems
  
  1. Pathak S.D., D. M. Dilts, and S. Mahadevan, “Investigating Population and Topological Evolution in a Complex Adaptive Supply Network,” Journal of Supply Chain Management, Vol. 45, No. 3, pp. 54-67, 2009.
  
  2. Pathak S.D., M. P. McDonald, and S. Mahadevan, “Policy Design under Uncertainty of Networked Systems using Agent-Based Modeling,” Decision Support Systems, Vol. 49, No. 2, pp. 121-131, 2010.
  
  3. Choi, H.H., and S. Mahadevan, “Construction Project Risk Assessment Using Existing Database and Project-specific Information,” ASCE Journal of Construction Engineering and Management, Vol. 134, No. 11, pp.894-903, 2008.
  
  4. Griffith, C., and S. Mahadevan, "Inclusion of Fatigue Effects in Human Reliability Analysis," Reliability Engineering and System Safety, accepted, in press.
  
  5. Hester, P. T., and S. Mahadevan, “ A multicriteria approach to critical facility security system design,” Applications of Management Science, Vol. 14, pp. 105-131, 2010.
  
  6. Hester, P. T., Adams, K. M., and S. Mahadevan, “ Examining metrics and methods for determining critical facility system effectiveness,” International Journal of Critical Infrastructures, Vol. 6, No. 3, pp. 211-224, 2010.