Year |
Citation |
Score |
2020 |
Nath P, Olson JD, Mahadevan S, Lee YT. Optimization of fused filament fabrication process parameters under uncertainty to maximize part geometry accuracy. Additive Manufacturing. 35. PMID 33392000 DOI: 10.1016/J.Addma.2020.101331 |
0.379 |
|
2020 |
Nannapaneni S, Mahadevan S, Dubey A, Lee YT. Online monitoring and control of a cyber-physical manufacturing process under uncertainty. Journal of Intelligent Manufacturing. 195. PMID 33363318 DOI: 10.1007/S10845-020-01609-7 |
0.363 |
|
2020 |
Vohra M, Nath P, Mahadevan S, Lee YT. Fast Surrogate Modeling using Dimensionality Reduction in Model Inputs and Field Output: Application to Additive Manufacturing. Reliability Engineering & System Safety. 201. PMID 33100595 DOI: 10.1016/J.Ress.2020.106986 |
0.4 |
|
2020 |
Karve P, Guo Y, Kapusuzoglu B, Mahadevan S, Haile M. Digital twin approach for intelligent operation planning and health management of mechanical systems Annual Conference of the Phm Society. 12: 9. DOI: 10.36001/PHMCONF.2020.V12I1.1197 |
0.307 |
|
2020 |
Absi GN, Mahadevan S. Simulation and Sensor Optimization for Multifidelity Dynamics Model Calibration Aiaa Journal. 58: 879-888. DOI: 10.2514/1.J058485 |
0.332 |
|
2020 |
Zhang X, Hu Z, Mahadevan S. Bilevel Optimization Model for Resilient Configuration of Logistics Service Centers Ieee Transactions On Reliability. 1-15. DOI: 10.1109/Tr.2020.2996025 |
0.323 |
|
2020 |
Nannapaneni S, Mahadevan S. Probability-space surrogate modeling for fast multidisciplinary optimization under uncertainty Reliability Engineering & System Safety. 198: 106896. DOI: 10.1016/J.Ress.2020.106896 |
0.389 |
|
2020 |
Zhang X, Mahadevan S, Lau N, Weinger MB. Multi-source information fusion to assess control room operator performance Reliability Engineering & System Safety. 194: 106287. DOI: 10.1016/J.Ress.2018.10.012 |
0.331 |
|
2020 |
Karve PM, Guo Y, Kapusuzoglu B, Mahadevan S, Haile MA. Digital twin approach for damage-tolerant mission planning under uncertainty Engineering Fracture Mechanics. 225: 106766. DOI: 10.1016/J.Engfracmech.2019.106766 |
0.423 |
|
2019 |
Zhang X, Mahadevan S, Goebel K. Network Reconfiguration for Increasing Transportation System Resilience Under Extreme Events. Risk Analysis : An Official Publication of the Society For Risk Analysis. PMID 31039286 DOI: 10.1111/Risa.13320 |
0.313 |
|
2019 |
Subramanian A, Mahadevan S. Model Error Propagation in Coupled Multiphysics Systems Aiaa Journal. 58: 2236-2245. DOI: 10.2514/1.J058496 |
0.351 |
|
2019 |
Hu Z, Mahadevan S. Reliability Analysis of a Hypersonic Vehicle Panel with Spatio-Temporal Variability Aiaa Journal. 57: 5403-5415. DOI: 10.2514/1.J057865 |
0.319 |
|
2019 |
Karve PM, Mahadevan S. Bayesian Information Fusion for Fatigue Crack Growth Diagnosis using Ultrasonic Guided Wave Pitch-catch in a Piezoelectric Actuator-sensor Network Structural Health Monitoring-An International Journal. DOI: 10.12783/Shm2019/32377 |
0.401 |
|
2019 |
Miele S, Karve P, Mahadevan S, Agarwal V. Dynamics-based Testing to Localize Macro Cracking Due to Alkali-Ailica Reaction in Concrete Structural Health Monitoring-An International Journal. DOI: 10.12783/Shm2019/32364 |
0.313 |
|
2019 |
Bao Y, Mahadevan S. Harmonic vibration testing for damage detection and localization in concrete Structural Health Monitoring-An International Journal. 18: 1820-1835. DOI: 10.1177/1475921718816837 |
0.311 |
|
2019 |
Hu Z, Hu C, Mourelatos ZP, Mahadevan S. Model Discrepancy Quantification in Simulation-Based Design of Dynamical Systems Journal of Mechanical Design. 141: 11401. DOI: 10.1115/1.4041483 |
0.312 |
|
2019 |
Neal K, Hu Z, Mahadevan S, Zumberge J. Discrepancy Prediction in Dynamical System Models Under Untested Input Histories Journal of Computational and Nonlinear Dynamics. 14: 21009. DOI: 10.1115/1.4041238 |
0.315 |
|
2019 |
Subramanian A, Mahadevan S. Bayesian estimation of discrepancy in dynamics model prediction Mechanical Systems and Signal Processing. 123: 351-368. DOI: 10.1016/J.Ymssp.2019.01.014 |
0.401 |
|
2019 |
Hu Z, Mahadevan S. Probability models for data-Driven global sensitivity analysis Reliability Engineering & System Safety. 187: 40-57. DOI: 10.1016/J.Ress.2018.12.003 |
0.424 |
|
2019 |
Subramanian A, Mahadevan S. Error estimation in coupled multi-physics models Journal of Computational Physics. 395: 19-37. DOI: 10.1016/J.Jcp.2019.06.013 |
0.386 |
|
2019 |
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. 132: 577-586. DOI: 10.1016/J.Ijheatmasstransfer.2018.11.171 |
0.39 |
|
2019 |
Vohra M, Alexanderian A, Guy H, Mahadevan S. Active subspace-based dimension reduction for chemical kinetics applications with epistemic uncertainty Combustion and Flame. 204: 152-161. DOI: 10.1016/J.Combustflame.2019.03.006 |
0.336 |
|
2019 |
Wang Z, Liu P, Ji Y, Mahadevan S, Horstemeyer MF, Hu Z, Chen L, Chen L. Uncertainty Quantification in Metallic Additive Manufacturing Through Physics-Informed Data-Driven Modeling Jom. 71: 2625-2634. DOI: 10.1007/S11837-019-03555-Z |
0.418 |
|
2019 |
Vohra M, Alexanderian A, Safta C, Mahadevan S. Sensitivity-Driven Adaptive Construction of Reduced-space Surrogates Journal of Scientific Computing. 79: 1335-1359. DOI: 10.1007/S10915-018-0894-4 |
0.396 |
|
2018 |
DeCarlo EC, Smarslok BP, Mahadevan S. Quantifying Model Discrepancy in Time-Dependent, Coupled Analyses Aiaa Journal. 56: 2403-2411. DOI: 10.2514/1.J056719 |
0.312 |
|
2018 |
Hu Z, Mahadevan S. Adaptive Surrogate Modeling for Time-Dependent Multidisciplinary Reliability Analysis Journal of Mechanical Design. 140: 21401. DOI: 10.1115/1.4038333 |
0.377 |
|
2018 |
Cai G, Mahadevan S. Big Data Analytics in Uncertainty Quantification: Application to Structural Diagnosis and Prognosis Asce-Asme Journal of Risk and Uncertainty in Engineering Systems, Part a: Civil Engineering. 4: 4018003. DOI: 10.1061/Ajrua6.0000949 |
0.327 |
|
2018 |
Absi GN, Mahadevan S. Input-dependence effects in dynamics model calibration Mechanical Systems and Signal Processing. 109: 285-304. DOI: 10.1016/J.Ymssp.2018.02.003 |
0.438 |
|
2018 |
VanDerHorn E, Mahadevan S. Bayesian model updating with summarized statistical and reliability data Reliability Engineering & System Safety. 172: 12-24. DOI: 10.1016/J.Ress.2017.11.023 |
0.438 |
|
2018 |
Zhang X, Mahadevan S, Sankararaman S, Goebel K. Resilience-based network design under uncertainty Reliability Engineering & System Safety. 169: 364-379. DOI: 10.1016/J.Ress.2017.09.009 |
0.572 |
|
2018 |
Li C, Mahadevan S. Efficient approximate inference in Bayesian networks with continuous variables Reliability Engineering & System Safety. 169: 269-280. DOI: 10.1016/J.Ress.2017.08.017 |
0.382 |
|
2018 |
Vohra M, Nobakht AY, Shin S, Mahadevan S. Uncertainty quantification in non-equilibrium molecular dynamics simulations of thermal transport International Journal of Heat and Mass Transfer. 127: 297-307. DOI: 10.1016/J.Ijheatmasstransfer.2018.07.073 |
0.353 |
|
2018 |
Hu Z, Mahadevan S, Ao D. Uncertainty aggregation and reduction in structure–material performance prediction Computational Mechanics. 61: 237-257. DOI: 10.1007/S00466-017-1448-6 |
0.484 |
|
2018 |
DeCarlo EC, Mahadevan S, Smarslok BP. Efficient global sensitivity analysis with correlated variables Structural and Multidisciplinary Optimization. 58: 2325-2340. DOI: 10.1007/S00158-018-2077-1 |
0.374 |
|
2017 |
Li C, Mahadevan S, Ling Y, Choze S, Wang L. Dynamic Bayesian Network for Aircraft Wing Health Monitoring Digital Twin Aiaa Journal. 55: 930-941. DOI: 10.2514/1.J055201 |
0.558 |
|
2017 |
Cai G, Mahadevan S. Data Fusion of Multiple Sensing Techniques Structural Health Monitoring-An International Journal. DOI: 10.12783/Shm2017/14093 |
0.343 |
|
2017 |
Cai G, Mahadevan S. Big Data Analytics in Structural Diagnosis and Prognosis Structural Health Monitoring-An International Journal. DOI: 10.12783/Shm2017/14089 |
0.385 |
|
2017 |
Ao D, Hu Z, Mahadevan S. Dynamics Model Validation Using Time-Domain Metrics Journal of Verification, Validation and Uncertainty Quantification. 2. DOI: 10.1115/1.4036182 |
0.323 |
|
2017 |
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. 3: 11007. DOI: 10.1115/1.4034805 |
0.382 |
|
2017 |
Zhang X, Mahadevan S. A Game Theoretic Approach to Network Reliability Assessment Ieee Transactions On Reliability. 66: 875-892. DOI: 10.1109/Tr.2017.2717186 |
0.361 |
|
2017 |
Hu Z, Nannapaneni S, Mahadevan S. Efficient Kriging surrogate modeling approach for system reliability analysis Ai Edam Artificial Intelligence For Engineering Design, Analysis and Manufacturing. 31: 143-160. DOI: 10.1017/S089006041700004X |
0.4 |
|
2017 |
Jiang X, Mahadevan S, Yuan Y. Fuzzy stochastic neural network model for structural system identification Mechanical Systems and Signal Processing. 82: 394-411. DOI: 10.1016/J.Ymssp.2016.05.030 |
0.403 |
|
2017 |
Hu Z, Mahadevan S. Uncertainty quantification in prediction of material properties during additive manufacturing Scripta Materialia. 135: 135-140. DOI: 10.1016/J.Scriptamat.2016.10.014 |
0.339 |
|
2017 |
Ao D, Hu Z, Mahadevan S. Design of validation experiments for life prediction models Reliability Engineering & System Safety. 165: 22-33. DOI: 10.1016/J.Ress.2017.03.030 |
0.442 |
|
2017 |
Zhang X, Mahadevan S, Deng X. Reliability analysis with linguistic data: An evidential network approach Reliability Engineering & System Safety. 162: 111-121. DOI: 10.1016/J.Ress.2017.01.009 |
0.396 |
|
2017 |
Zhou X, Deng X, Deng Y, Mahadevan S. Dependence assessment in human reliability analysis based on D numbers and AHP Nuclear Engineering and Design. 313: 243-252. DOI: 10.1016/J.Nucengdes.2016.12.001 |
0.329 |
|
2017 |
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. 49: 123-133. DOI: 10.1016/J.Net.2016.10.003 |
0.386 |
|
2017 |
Nath P, Hu Z, Mahadevan S. Sensor placement for calibration of spatially varying model parameters Journal of Computational Physics. 343: 150-169. DOI: 10.1016/J.Jcp.2017.04.033 |
0.356 |
|
2017 |
Hu Z, Ao D, Mahadevan S. Calibration experimental design considering field response and model uncertainty Computer Methods in Applied Mechanics and Engineering. 318: 92-119. DOI: 10.1016/J.Cma.2017.01.007 |
0.472 |
|
2017 |
Zhang X, Adamatzky A, Chan FTS, Mahadevan S, Deng Y. Physarum solver: a bio-inspired method for sustainable supply chain network design problem Annals of Operations Research. 254: 533-552. DOI: 10.1007/S10479-017-2410-X |
0.333 |
|
2017 |
Hu Z, Mahadevan S. A surrogate modeling approach for reliability analysis of a multidisciplinary system with spatio-temporal output Structural and Multidisciplinary Optimization. 56: 553-569. DOI: 10.1007/S00158-017-1737-X |
0.458 |
|
2017 |
Liang C, Mahadevan S. Pareto surface construction for multi-objective optimization under uncertainty Structural and Multidisciplinary Optimization. 55: 1865-1882. DOI: 10.1007/S00158-016-1619-7 |
0.374 |
|
2016 |
Liang C, Mahadevan S. Multidisciplinary Optimization under Uncertainty Using Bayesian Network Sae International Journal of Materials and Manufacturing. 9: 419-429. DOI: 10.4271/2016-01-0304 |
0.414 |
|
2016 |
Li C, Mahadevan S. Uncertainty Quantification of System Model Parameters with Component Level and Sub-System Level Tests Sae International Journal of Materials and Manufacturing. 9: 345-354. DOI: 10.4271/2016-01-0287 |
0.422 |
|
2016 |
DeCarlo EC, Smarslok BP, Mahadevan S. Segmented Bayesian Calibration of Multidisciplinary Models Aiaa Journal. 54: 3727-3741. DOI: 10.2514/1.J054960 |
0.419 |
|
2016 |
Devathi H, Hu Z, Mahadevan S. Snap-Through Buckling Reliability Analysis Under Spatiotemporal Variability and Epistemic Uncertainty Aiaa Journal. 54: 3981-3993. DOI: 10.2514/1.J054920 |
0.459 |
|
2016 |
Liang C, Mahadevan S. Stochastic multidisciplinary analysis with high-dimensional coupling Aiaa Journal. 54: 1209-1219. DOI: 10.2514/1.J054343 |
0.391 |
|
2016 |
Mullins J, Mahadevan S, Urbina A. Optimal Test Selection for Prediction Uncertainty Reduction Journal of Verification, Validation and Uncertainty Quantification. 1. DOI: 10.1115/1.4035204 |
0.348 |
|
2016 |
Hu Z, Mahadevan S. Resilience assessment based on time-dependent system reliability analysis Journal of Mechanical Design, Transactions of the Asme. 138. DOI: 10.1115/1.4034109 |
0.405 |
|
2016 |
Hu Z, Mahadevan S. A Single-Loop Kriging Surrogate Modeling for Time-Dependent Reliability Analysis Journal of Mechanical Design, Transactions of the Asme. 138. DOI: 10.1115/1.4033428 |
0.435 |
|
2016 |
Mullins J, Mahadevan S. Bayesian Uncertainty Integration for Model Calibration, Validation, and Prediction Journal of Verification, Validation and Uncertainty Quantification. 1. DOI: 10.1115/1.4032371 |
0.348 |
|
2016 |
Hu Z, Mahadevan S, Du X. Uncertainty Quantification of Time-Dependent Reliability Analysis in the Presence of Parametric Uncertainty Asce-Asme Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering. 2: 31005. DOI: 10.1115/1.4032307 |
0.454 |
|
2016 |
Zhang X, Chan FTS, Adamatzky A, Mahadevan S, Yang H, Zhang Z, Deng Y. An intelligent physarum solver for supply chain network design under profit maximization and oligopolistic competition International Journal of Production Research. 1-20. DOI: 10.1080/00207543.2016.1203075 |
0.303 |
|
2016 |
Absi GN, Mahadevan S. Multi-fidelity approach to dynamics model calibration Mechanical Systems and Signal Processing. 68: 189-206. DOI: 10.1016/J.Ymssp.2015.07.019 |
0.449 |
|
2016 |
Nannapaneni S, Mahadevan S. Reliability analysis under epistemic uncertainty Reliability Engineering and System Safety. 155: 9-20. DOI: 10.1016/J.Ress.2016.06.005 |
0.481 |
|
2016 |
Li C, Mahadevan S. An efficient modularized sample-based method to estimate the first-order Sobol index Reliability Engineering and System Safety. 153: 110-121. DOI: 10.1016/J.Ress.2016.04.012 |
0.399 |
|
2016 |
Li C, Mahadevan S. Role of calibration, validation, and relevance in multi-level uncertainty integration Reliability Engineering and System Safety. 148: 32-43. DOI: 10.1016/J.Ress.2015.11.013 |
0.417 |
|
2016 |
Mullins J, Ling Y, Mahadevan S, Sun L, Strachan A. Separation of aleatory and epistemic uncertainty in probabilistic model validation Reliability Engineering and System Safety. 147: 49-59. DOI: 10.1016/J.Ress.2015.10.003 |
0.672 |
|
2016 |
Zhu SP, Huang HZ, Peng W, Wang HK, Mahadevan S. Probabilistic Physics of Failure-based framework for fatigue life prediction of aircraft gas turbine discs under uncertainty Reliability Engineering and System Safety. 146: 1-12. DOI: 10.1016/J.Ress.2015.10.002 |
0.43 |
|
2016 |
Nannapaneni S, Mahadevan S, Rachuri S. Performance evaluation of a manufacturing process under uncertainty using Bayesian networks Journal of Cleaner Production. 113: 947-959. DOI: 10.1016/J.Jclepro.2015.12.003 |
0.399 |
|
2016 |
Deng X, Liu Q, Deng Y, Mahadevan S. An improved method to construct basic probability assignment based on the confusion matrix for classification problem Information Sciences. 340: 250-261. DOI: 10.1016/J.Ins.2016.01.033 |
0.34 |
|
2016 |
Li C, Mahadevan S. Relative contributions of aleatory and epistemic uncertainty sources in time series prediction International Journal of Fatigue. 82: 474-486. DOI: 10.1016/J.Ijfatigue.2015.09.002 |
0.424 |
|
2016 |
Zaman K, Mahadevan S. Reliability-based design optimization of multidisciplinary system under aleatory and epistemic uncertainty Structural and Multidisciplinary Optimization. 1-19. DOI: 10.1007/S00158-016-1532-0 |
0.44 |
|
2016 |
Nannapaneni S, Hu Z, Mahadevan S. Uncertainty quantification in reliability estimation with limit state surrogates Structural and Multidisciplinary Optimization. 54: 1509-1526. DOI: 10.1007/S00158-016-1487-1 |
0.475 |
|
2016 |
Hu Z, Mahadevan S. Global sensitivity analysis-enhanced surrogate (GSAS) modeling for reliability analysis Structural and Multidisciplinary Optimization. 53: 501-521. DOI: 10.1007/S00158-015-1347-4 |
0.364 |
|
2016 |
Ai Q, Yuan Y, Mahadevan S, Jiang X. Probabilistic degradation modelling of circular tunnels assembled from segmental linings Structural Concrete. 17: 257-273. DOI: 10.1002/Suco.201400122 |
0.402 |
|
2016 |
Hu Z, Mahadevan S. Accelerated Life Testing (ALT) Design Based on Computational Reliability Analysis Quality and Reliability Engineering International. 32: 2217-2232. DOI: 10.1002/Qre.1929 |
0.464 |
|
2015 |
Wang H, Zhang Y, Zhang Z, Mahadevan S, Deng Y. PhysarumSpreader: A New Bio-Inspired Methodology for Identifying Influential Spreaders in Complex Networks. Plos One. 10: e0145028. PMID 26684194 DOI: 10.1371/Journal.Pone.0145028 |
0.301 |
|
2015 |
Zhang X, Adamatzky A, Chan FT, Deng Y, Yang H, Yang XS, Tsompanas MA, Sirakoulis GCh, Mahadevan S. A biologically inspired network design model. Scientific Reports. 5: 10794. PMID 26041508 DOI: 10.1038/Srep10794 |
0.322 |
|
2015 |
Su X, Mahadevan S, Xu P, Deng Y. Dependence Assessment in Human Reliability Analysis Using Evidence Theory and AHP. Risk Analysis : An Official Publication of the Society For Risk Analysis. PMID 25847228 DOI: 10.1111/Risa.12347 |
0.361 |
|
2015 |
Sankararaman S, Ling Y, Mahadevan S. Fatigue crack growth analysis and damage prognosis in structures Emerging Design Solutions in Structural Health Monitoring Systems. 207-233. DOI: 10.4018/978-1-4666-8490-4.ch010 |
0.565 |
|
2015 |
Sankararaman S, Mahadevan S. Statistical approach to structural damage diagnosis under uncertainty Emerging Design Solutions in Structural Health Monitoring Systems. 153-169. DOI: 10.4018/978-1-4666-8490-4.ch008 |
0.574 |
|
2015 |
Liang C, Mahadevan S. Bayesian sensitivity analysis and uncertainty integration for robust optimization Journal of Aerospace Information Systems. 12: 189-203. DOI: 10.2514/1.I010268 |
0.468 |
|
2015 |
Hu Z, Mahadevan S. Time-Dependent System Reliability Analysis Using Random Field Discretization Journal of Mechanical Design, Transactions of the Asme. 137. DOI: 10.1115/1.4031337 |
0.371 |
|
2015 |
Liang C, Mahadevan S, Sankararaman S. Stochastic multidisciplinary analysis under epistemic uncertainty Journal of Mechanical Design, Transactions of the Asme. 137. DOI: 10.1115/1.4029221 |
0.57 |
|
2015 |
Nannapaneni S, Mahadevan S, Lechevalier D, Narayanan A, Rachuri S. Automated uncertainty quantification analysis using a system model and data Proceedings - 2015 Ieee International Conference On Big Data, Ieee Big Data 2015. 1408-1417. DOI: 10.1109/BigData.2015.7363901 |
0.334 |
|
2015 |
Griffith CD, Mahadevan S. Human reliability under sleep deprivation: Derivation of performance shaping factor multipliers from empirical data Reliability Engineering and System Safety. 144: 23-34. DOI: 10.1016/J.Ress.2015.05.004 |
0.678 |
|
2015 |
Sankararaman S, Mahadevan S. Integration of model verification, validation, and calibration for uncertainty quantification in engineering systems Reliability Engineering and System Safety. 138: 194-209. DOI: 10.1016/J.Ress.2015.01.023 |
0.626 |
|
2015 |
Deng X, Hu Y, Chan FTS, Mahadevan S, Deng Y. Parameter estimation based on interval-valued belief structures European Journal of Operational Research. 241: 579-582. DOI: 10.1016/J.Ejor.2014.10.002 |
0.335 |
|
2015 |
Cao L, Li M, Sadiq R, Mahadevan S, Deng Y. Developing environmental indices using fuzzy numbers power average (FN-PA) operator International Journal of Systems Assurance Engineering and Management. 6: 139-149. DOI: 10.1007/S13198-014-0257-Y |
0.336 |
|
2015 |
Zhang X, Deng Y, Chan FTS, Mahadevan S. A fuzzy extended analytic network process-based approach for global supplier selection Applied Intelligence. 43: 760-772. DOI: 10.1007/S10489-015-0664-Z |
0.358 |
|
2015 |
Li C, Mahadevan S. Sensitivity analysis for test resource allocation Conference Proceedings of the Society For Experimental Mechanics Series. 3: 143-150. DOI: 10.1007/978-3-319-15224-0_14 |
0.321 |
|
2015 |
Su X, Mahadevan S, Xu P, Deng Y. Handling of dependence in Dempster-Shafer theory International Journal of Intelligent Systems. 30: 441-467. DOI: 10.1002/Int.21695 |
0.353 |
|
2014 |
Xu P, Deng Y, Su X, Chen X, Mahadevan S. An evidential approach to physical protection system design Safety Science. 65: 125-137. DOI: 10.1016/J.Ssci.2014.01.003 |
0.363 |
|
2014 |
Mullins J, Mahadevan S. Variable-fidelity model selection for stochastic simulation Reliability Engineering and System Safety. 131: 40-52. DOI: 10.1016/J.Ress.2014.06.011 |
0.444 |
|
2014 |
Su X, Mahadevan S, Xu P, Deng Y. Inclusion of task dependence in human reliability analysis Reliability Engineering & System Safety. 128: 41-55. DOI: 10.1016/J.Ress.2014.04.007 |
0.345 |
|
2014 |
Du Y, Gao C, Hu Y, Mahadevan S, Deng Y. A new method of identifying influential nodes in complex networks based on TOPSIS Physica a: Statistical Mechanics and Its Applications. 399: 57-69. DOI: 10.1016/J.Physa.2013.12.031 |
0.314 |
|
2014 |
Huang S, Su X, Hu Y, Mahadevan S, Deng Y. A new decision-making method by incomplete preferences based on evidence distance Knowledge Based Systems. 56: 264-272. DOI: 10.1016/J.Knosys.2013.11.019 |
0.322 |
|
2014 |
Ling Y, Mullins J, Mahadevan S. Selection of model discrepancy priors in Bayesian calibration Journal of Computational Physics. 276: 665-680. DOI: 10.1016/J.Jcp.2014.08.005 |
0.649 |
|
2014 |
Deng X, Hu Y, Deng Y, Mahadevan S. Environmental impact assessment based on D numbers Expert Systems With Applications. 41: 635-643. DOI: 10.1016/J.Eswa.2013.07.088 |
0.356 |
|
2014 |
Deng X, Hu Y, Deng Y, Mahadevan S. Supplier selection using AHP methodology extended by D numbers Expert Systems With Applications. 41: 156-167. DOI: 10.1016/J.Eswa.2013.07.018 |
0.338 |
|
2014 |
Zhang H, Hu Y, Lan X, Mahadevan S, Deng Y. Fuzzy fractal dimension of complex networks Applied Soft Computing. 25: 514-518. DOI: 10.1016/J.Asoc.2014.08.019 |
0.333 |
|
2014 |
Zhang X, Zhang Y, Zhang Z, Mahadevan S, Adamatzky A, Deng Y. Rapid Physarum Algorithm for shortest path problem Applied Soft Computing. 23: 19-26. DOI: 10.1016/J.Asoc.2014.05.032 |
0.321 |
|
2014 |
Zhang X, Wang Q, Adamatzky A, Chan FT, Mahadevan S, Deng Y. A Biologically Inspired Optimization Algorithm for Solving Fuzzy Shortest Path Problems with Mixed Fuzzy Arc Lengths Journal of Optimization Theory and Applications. 163: 1049-1056. DOI: 10.1007/S10957-014-0542-6 |
0.313 |
|
2014 |
Xu P, Su X, Mahadevan S, Li C, Deng Y. A non-parametric method to determine basic probability assignment for classification problems Applied Intelligence. 41: 681-693. DOI: 10.1007/S10489-014-0546-9 |
0.386 |
|
2014 |
Bartram G, Mahadevan S. Integration of heterogeneous information in SHM models Structural Control and Health Monitoring. 21: 403-422. DOI: 10.1002/Stc.1572 |
0.812 |
|
2013 |
Bartram GW, Mahadevan S. Integrating heterogeneous information in diagnosis and prognosis 54th Aiaa/Asme/Asce/Ahs/Asc Structures, Structural Dynamics, and Materials Conference. DOI: 10.2514/6.2013-1941 |
0.788 |
|
2013 |
Sankararaman S, Mahadevan S. Assessing the reliability of computational models under uncertainty Collection of Technical Papers - Aiaa/Asme/Asce/Ahs/Asc Structures, Structural Dynamics and Materials Conference. DOI: 10.2514/6.2013-1873 |
0.54 |
|
2013 |
Mullins J, Li C, Sankararaman S, Mahadevan S, Urbina A. Uncertainty quantification using multi-level calibration and validation data Collection of Technical Papers - Aiaa/Asme/Asce/Ahs/Asc Structures, Structural Dynamics and Materials Conference. DOI: 10.2514/6.2013-1872 |
0.512 |
|
2013 |
Liang C, Mahadevan S. Inclusion of data uncertainty and model error in multi-disciplinary analysis and optimization Collection of Technical Papers - Aiaa/Asme/Asce/Ahs/Asc Structures, Structural Dynamics and Materials Conference. DOI: 10.2514/6.2013-1813 |
0.332 |
|
2013 |
Sankararaman S, McLemore K, Mahadevan S, Bradford SC, Peterson LD. Test resource allocation in hierarchical systems using Bayesian networks Aiaa Journal. 51: 537-550. DOI: 10.2514/1.J051542 |
0.617 |
|
2013 |
Zaman K, Mahadevan S. Robustness-Based Design Optimization of Multidisciplinary System Under Epistemic Uncertainty Aiaa Journal. 51: 1021-1031. DOI: 10.2514/1.J051372 |
0.41 |
|
2013 |
McDonald M, Zaman K, Mahadevan S. Probabilistic Analysis with Sparse Data Aiaa Journal. 51: 281-290. DOI: 10.2514/1.J050337 |
0.351 |
|
2013 |
Bogdanor MJ, Mahadevan S, Oskay C. Uncertainty quantification in damage modeling of heterogeneous materials International Journal For Multiscale Computational Engineering. 11: 289-307. DOI: 10.1615/Intjmultcompeng.2013005821 |
0.425 |
|
2013 |
Hombal VK, Mahadevan S. Model selection among physics-based models Journal of Mechanical Design, Transactions of the Asme. 135. DOI: 10.1115/1.4023155 |
0.325 |
|
2013 |
Bichon BJ, Eldred MS, Mahadevan S, McFarland JM. Efficient global surrogate modeling for reliability-based design optimization Journal of Mechanical Design, Transactions of the Asme. 135. DOI: 10.1115/1.4022999 |
0.657 |
|
2013 |
Strachan A, Mahadevan S, Hombal V, Sun L. Functional derivatives for uncertainty quantification and error estimation and reduction via optimal high-fidelity simulations Modelling and Simulation in Materials Science and Engineering. 21: 65009. DOI: 10.1088/0965-0393/21/6/065009 |
0.406 |
|
2013 |
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. 83: 1829-1851. DOI: 10.1080/00949655.2012.672572 |
0.46 |
|
2013 |
Zhang X, Deng Y, Chan FTS, Xu P, Mahadevan S, Hu Y. IFSJSP: A novel methodology for the Job-Shop Scheduling Problem based on intuitionistic fuzzy sets International Journal of Production Research. 51: 5100-5119. DOI: 10.1080/00207543.2013.793425 |
0.332 |
|
2013 |
Sankararaman S, Mahadevan S. Distribution type uncertainty due to sparse and imprecise data Mechanical Systems and Signal Processing. 37: 182-198. DOI: 10.1016/J.Ymssp.2012.07.008 |
0.555 |
|
2013 |
Sankararaman S, Mahadevan S. Separating the contributions of variability and parameter uncertainty in probability distributions Reliability Engineering and System Safety. 112: 187-199. DOI: 10.1016/J.Ress.2012.11.024 |
0.57 |
|
2013 |
Ling Y, Mahadevan S. Quantitative model validation techniques: New insights Reliability Engineering and System Safety. 111: 217-231. DOI: 10.1016/J.Ress.2012.11.011 |
0.663 |
|
2013 |
Zaman K, McDonald M, Mahadevan S. Inclusion of correlation effects in model prediction under data uncertainty Probabilistic Engineering Mechanics. 34: 58-66. DOI: 10.1016/J.Probengmech.2013.05.003 |
0.424 |
|
2013 |
Gao C, Wei D, Hu Y, Mahadevan S, Deng Y. A modified evidential methodology of identifying influential nodes in weighted networks Physica a-Statistical Mechanics and Its Applications. 392: 5490-5500. DOI: 10.1016/J.Physa.2013.06.059 |
0.323 |
|
2013 |
Wei D, Deng X, Zhang X, Deng Y, Mahadevan S. Identifying influential nodes in weighted networks based on evidence theory Physica a-Statistical Mechanics and Its Applications. 392: 2564-2575. DOI: 10.1016/J.Physa.2013.01.054 |
0.302 |
|
2013 |
Xu P, Deng Y, Su X, Mahadevan S. A new method to determine basic probability assignment from training data Knowledge Based Systems. 46: 69-80. DOI: 10.1016/J.Knosys.2013.03.005 |
0.363 |
|
2013 |
Hombal VK, Mahadevan S. Surrogate modeling of 3D crack growth International Journal of Fatigue. 47: 90-99. DOI: 10.1016/J.Ijfatigue.2012.07.012 |
0.345 |
|
2013 |
Zhang X, Zhang Y, Hu Y, Deng Y, Mahadevan S. An adaptive amoeba algorithm for constrained shortest paths Expert Systems With Applications. 40: 7607-7616. DOI: 10.1016/J.Eswa.2013.07.054 |
0.305 |
|
2013 |
Zhang Y, Zhang Z, Deng Y, Mahadevan S. A biologically inspired solution for fuzzy shortest path problems Applied Soft Computing. 13: 2356-2363. DOI: 10.1016/J.Asoc.2012.12.035 |
0.319 |
|
2013 |
Zhang X, Huang S, Hu Y, Zhang Y, Mahadevan S, Deng Y. Solving 0-1 knapsack problems based on amoeboid organism algorithm Applied Mathematics and Computation. 219: 9959-9970. DOI: 10.1016/J.Amc.2013.04.023 |
0.303 |
|
2013 |
Rangavajhala S, Mahadevan S. Design optimization for robustness in multiple performance functions Structural and Multidisciplinary Optimization. 47: 523-538. DOI: 10.1007/S00158-012-0860-Y |
0.329 |
|
2013 |
Sankararaman S, Mahadevan S. Bayesian methodology for diagnosis uncertainty quantification and health monitoring Structural Control and Health Monitoring. 20: 88-106. DOI: 10.1002/Stc.476 |
0.605 |
|
2012 |
Rangavajhala S, Liang C, Mahadevan S, Hombal V. Concurrent optimization of mesh refinement and design parameters in multidisciplinary design Journal of Aircraft. 49: 1786-1795. DOI: 10.2514/1.C031564 |
0.339 |
|
2012 |
Urbina A, Mahadevan S, Paez TL. A Bayes Network Approach To Uncertainty Quantification In Hierarchically Developed Computational Models International Journal For Uncertainty Quantification. 2: 173-193. DOI: 10.1615/Int.J.Uncertaintyquantification.V2.I2.70 |
0.424 |
|
2012 |
Sankararaman S, Mahadevan S. Likelihood-based approach to multidisciplinary analysis under uncertainty Journal of Mechanical Design, Transactions of the Asme. 134. DOI: 10.1115/1.4005619 |
0.583 |
|
2012 |
Sankararaman S, Mahadevan S. Model parameter estimation with imprecise and unpaired data Inverse Problems in Science and Engineering. 20: 1017-1041. DOI: 10.1080/17415977.2012.675505 |
0.587 |
|
2012 |
Mahadevan S, Overstreet J. Use of Warranty and Reliability Data to Inform Call Center Staffing Quality Engineering. 24: 386-399. DOI: 10.1080/08982112.2012.682047 |
0.316 |
|
2012 |
Sarkar S, Mahadevan S, Meeussen JCL, van der Sloot H, Kosson DS. Sensitivity Analysis of Damage in Cement Materials under Sulfate Attack and Calcium Leaching Journal of Materials in Civil Engineering. 24: 430-440. DOI: 10.1061/(Asce)Mt.1943-5533.0000407 |
0.581 |
|
2012 |
Ling Y, Mahadevan S. Integration of structural health monitoring and fatigue damage prognosis Mechanical Systems and Signal Processing. 28: 89-104. DOI: 10.1016/J.Ymssp.2011.10.001 |
0.65 |
|
2012 |
Hombal VK, Ling Y, Wolfe KA, Mahadevan S. Two-stage planar approximation of non-planar crack growth Engineering Fracture Mechanics. 96: 147-164. DOI: 10.1016/J.Engfracmech.2012.07.017 |
0.593 |
|
2012 |
Su X, Deng Y, Mahadevan S, Bao Q. An improved method for risk evaluation in failure modes and effects analysis of aircraft engine rotor blades Engineering Failure Analysis. 26: 164-174. DOI: 10.1016/J.Engfailanal.2012.07.009 |
0.316 |
|
2012 |
Sarkar S, Kosson DS, Mahadevan S, Meeussen JCL, Der Sloot HV, Arnold JR, Brown KG. Bayesian calibration of thermodynamic parameters for geochemical speciation modeling of cementitious materials Cement and Concrete Research. 42: 889-902. DOI: 10.1016/J.Cemconres.2012.02.004 |
0.595 |
|
2012 |
Sankararaman S, McLemore K, Mahadevan S. Bayesian methods for uncertainty quantification in multi-level systems Conference Proceedings of the Society For Experimental Mechanics Series. 4: 67-74. DOI: 10.1007/978-1-4614-2431-4_7 |
0.498 |
|
2011 |
McInvale HD, McDonald MP, Mahadevan S. A system of systems approach for effects-based operational planning under uncertainty Military Operations Research. 16: 33-48. DOI: 10.5711/1082598316333 |
0.785 |
|
2011 |
Stratman B, Mahadevan S, Li C, Biswas G. Identification of critical inspection samples among railroad wheels by similarity-based agglomerative clustering Integrated Computer-Aided Engineering. 18: 203-219. DOI: 10.3233/Ica-2011-0372 |
0.768 |
|
2011 |
Sankararaman S, McLemore K, Liang C, Mahadevan S, Bradford SC, Peterson L. Test resource allocation for uncertainty quantification of multi-level and coupled systems Collection of Technical Papers - Aiaa/Asme/Asce/Ahs/Asc Structures, Structural Dynamics and Materials Conference. DOI: 10.2514/6.2011-1904 |
0.457 |
|
2011 |
Sankararaman S, Mahadevan S. Uncertainty quantification and model validation under epistemic uncertainty due to sparse and imprecise data Collection of Technical Papers - Aiaa/Asme/Asce/Ahs/Asc Structures, Structural Dynamics and Materials Conference. DOI: 10.2514/6.2011-1708 |
0.561 |
|
2011 |
Rangavajhala S, Sura VS, Hombal VK, Mahadevan S. Discretization error estimation in multidisciplinary simulations Aiaa Journal. 49: 2673-2683. DOI: 10.2514/1.J051085 |
0.343 |
|
2011 |
Liang B, Mahadevan S. Error And Uncertainty Quantification And Sensitivity Analysis In Mechanics Computational Models International Journal For Uncertainty Quantification. 1: 147-161. DOI: 10.1615/Int.J.Uncertaintyquantification.V1.I2.30 |
0.363 |
|
2011 |
Hombal V, Mahadevan S. Bias Minimization In Gaussian Process Surrogate Modeling For Uncertainty Quantification International Journal For Uncertainty Quantification. 1: 321-349. DOI: 10.1615/Int.J.Uncertaintyquantification.2011003343 |
0.356 |
|
2011 |
Moustafa A, Mahadevan S. Reliability analysis of uncertain structures using earthquake response spectra Earthquakes and Structures. 2: 279-295. DOI: 10.12989/Eas.2011.2.3.279 |
0.395 |
|
2011 |
Rangavajhala S, Mahadevan S. Joint probability formulation for multiobjective optimization under uncertainty Journal of Mechanical Design, Transactions of the Asme. 133. DOI: 10.1115/1.4003540 |
0.35 |
|
2011 |
Zaman K, McDonald M, Mahadevan S. Probabilistic Framework for Uncertainty Propagation With Both Probabilistic and Interval Variables Journal of Mechanical Design. 133: 21010. DOI: 10.1115/1.4002720 |
0.424 |
|
2011 |
Sankararaman S, Ling Y, Mahadevan S. Confidence assessment in model-based structural health monitoring Ieee Aerospace Conference Proceedings. DOI: 10.1109/AERO.2011.5747567 |
0.498 |
|
2011 |
Jiang X, Mahadevan S. Wavelet spectrum analysis approach to model validation of dynamic systems Mechanical Systems and Signal Processing. 25: 575-590. DOI: 10.1016/J.Ymssp.2010.05.012 |
0.398 |
|
2011 |
Griffith CD, Mahadevan S. Inclusion of fatigue effects in human reliability analysis Reliability Engineering and System Safety. 96: 1437-1447. DOI: 10.1016/J.Ress.2011.06.005 |
0.688 |
|
2011 |
Bichon BJ, McFarland JM, Mahadevan S. Efficient surrogate models for reliability analysis of systems with multiple failure modes Reliability Engineering and System Safety. 96: 1386-1395. DOI: 10.1016/J.Ress.2011.05.008 |
0.688 |
|
2011 |
Sankararaman S, Mahadevan S. Likelihood-based representation of epistemic uncertainty due to sparse point data and/or interval data Reliability Engineering and System Safety. 96: 814-824. DOI: 10.1016/J.Ress.2011.02.003 |
0.575 |
|
2011 |
Urbina A, Mahadevan S, Paez TL. Quantification of margins and uncertainties of complex systems in the presence of aleatoric and epistemic uncertainty Reliability Engineering and System Safety. 96: 1114-1125. DOI: 10.1016/J.Ress.2010.08.010 |
0.673 |
|
2011 |
Sankararaman S, Mahadevan S. Model validation under epistemic uncertainty Reliability Engineering and System Safety. 96: 1232-1241. DOI: 10.1016/J.Ress.2010.07.014 |
0.628 |
|
2011 |
Zaman K, Rangavajhala S, McDonald MP, Mahadevan S. A probabilistic approach for representation of interval uncertainty Reliability Engineering and System Safety. 96: 117-130. DOI: 10.1016/J.Ress.2010.07.012 |
0.393 |
|
2011 |
Ling Y, Shantz C, Mahadevan S, Sankararaman S. Stochastic prediction of fatigue loading using real-time monitoring data International Journal of Fatigue. 33: 868-879. DOI: 10.1016/J.Ijfatigue.2011.01.015 |
0.788 |
|
2011 |
Sankararaman S, Ling Y, Shantz C, Mahadevan S. Inference of equivalent initial flaw size under multiple sources of uncertainty International Journal of Fatigue. 33: 75-89. DOI: 10.1016/J.Ijfatigue.2010.06.008 |
0.735 |
|
2011 |
Sankararaman S, Ling Y, Mahadevan S. Uncertainty quantification and model validation of fatigue crack growth prediction Engineering Fracture Mechanics. 78: 1487-1504. DOI: 10.1016/J.Engfracmech.2011.02.017 |
0.729 |
|
2011 |
Sura V, Mahadevan S. Modeling of vertical split rim cracking in railroad wheels Engineering Failure Analysis. 18: 1171-1183. DOI: 10.1016/J.Engfailanal.2011.02.008 |
0.346 |
|
2011 |
Sankararaman S, Mahadevan S. Uncertainty quantification in structural damage diagnosis Structural Control and Health Monitoring. 18: 807-824. DOI: 10.1002/Stc.400 |
0.621 |
|
2010 |
Guratzsch RF, Mahadevan S. Structural health monitoring sensor placement optimization under uncertainty Aiaa Journal. 48: 1281-1289. DOI: 10.2514/1.28435 |
0.802 |
|
2010 |
Hester PT, Mahadevan S, Adams KM. Examining metrics and methods for determining critical facility system effectiveness International Journal of Critical Infrastructures. 6: 211-224. DOI: 10.1504/Ijcis.2010.033337 |
0.682 |
|
2010 |
Jiang X, Mahadevan S, Urbina A. Bayesian nonlinear structural equation modeling for hierarchical validation of dynamical systems Mechanical Systems and Signal Processing. 24: 957-975. DOI: 10.1016/J.Ymssp.2009.10.002 |
0.674 |
|
2010 |
Sankararaman S, Ling Y, Mahadevan S. Statistical inference of equivalent initial flaw size with complicated structural geometry and multi-axial variable amplitude loading International Journal of Fatigue. 32: 1689-1700. DOI: 10.1016/J.Ijfatigue.2010.03.012 |
0.725 |
|
2010 |
Sarkar S, Mahadevan S, Meeussen J, van der Sloot H, Kosson D. Numerical simulation of cementitious materials degradation under external sulfate attack Cement and Concrete Composites. 32: 241-252. DOI: 10.1016/J.Cemconcomp.2009.12.005 |
0.571 |
|
2010 |
Moustafa A, Mahadevan S, Daigle M, Biswas G. Structural and sensor damage identification using the bond graph approach Structural Control & Health Monitoring. 17: 178-197. DOI: 10.1002/Stc.285 |
0.36 |
|
2009 |
Jiang X, Mahadevan S, Guratzsch R. Bayesian Wavelet Methodology for Damage Detection of Thermal Protection System Panels Aiaa Journal. 47: 942-952. DOI: 10.2514/1.38503 |
0.805 |
|
2009 |
Liu Y, Mahadevan S. Efficient Methods for Time-Dependent Fatigue Reliability Analysis Aiaa Journal. 47: 494-504. DOI: 10.2514/1.34331 |
0.455 |
|
2009 |
Jiang X, Mahadevan S. Bayesian inference method for model validation and confidence extrapolation Journal of Applied Statistics. 36: 659-677. DOI: 10.1080/02664760802499295 |
0.445 |
|
2009 |
Jiang X, Mahadevan S. Bayesian structural equation modeling method for hierarchical model validation Reliability Engineering & System Safety. 94: 796-809. DOI: 10.1016/J.Ress.2008.08.008 |
0.428 |
|
2009 |
Liu Y, Mahadevan S. Probabilistic fatigue life prediction using an equivalent initial flaw size distribution International Journal of Fatigue. 31: 476-487. DOI: 10.1016/J.Ijfatigue.2008.06.005 |
0.416 |
|
2009 |
Liu Y, Mahadevan S. Fatigue limit prediction of notched components using short crack growth theory and an asymptotic interpolation method Engineering Fracture Mechanics. 76: 2317-2331. DOI: 10.1016/J.Engfracmech.2008.06.006 |
0.372 |
|
2009 |
Jiang X, Mahadevan S. Bayesian hierarchical uncertainty quantification by structural equation modeling International Journal For Numerical Methods in Engineering. 80: 717-737. DOI: 10.1002/Nme.2550 |
0.44 |
|
2008 |
McFarland J, Mahadevan S, Romero V, Swiler L. Calibration and Uncertainty Analysis for Computer Simulations with Multivariate Output Aiaa Journal. 46: 1253-1265. DOI: 10.2514/1.35288 |
0.697 |
|
2008 |
Bichon BJ, Eldred MS, Swiler LP, Mahadevan S, McFarland JM. Efficient global reliability analysis for nonlinear implicit performance functions Aiaa Journal. 46: 2459-2468. DOI: 10.2514/1.34321 |
0.687 |
|
2008 |
Zou T, Mourelatos ZP, Mahadevan S, Tu J. An indicator response surface method for simulation-based reliability analysis Journal of Mechanical Design, Transactions of the Asme. 130: 0714011-07140111. DOI: 10.1115/1.2918901 |
0.595 |
|
2008 |
McDonald M, Mahadevan S. Reliability-based optimization with discrete and continuous decision and random variables Journal of Mechanical Design, Transactions of the Asme. 130: 0614011-06140113. DOI: 10.1115/1.2898873 |
0.365 |
|
2008 |
McDonald M, Mahadevan S. Design optimization with system-level reliability constraints Journal of Mechanical Design, Transactions of the Asme. 130. DOI: 10.1115/1.2813782 |
0.394 |
|
2008 |
Jiang X, Mahadevan S. Bayesian validation assessment of multivariate computational models Journal of Applied Statistics. 35: 49-65. DOI: 10.1080/02664760701683577 |
0.445 |
|
2008 |
Jiang X, Mahadevan S. Bayesian Probabilistic Inference for Nonparametric Damage Detection of Structures Journal of Engineering Mechanics. 134: 820-831. DOI: 10.1061/(Asce)0733-9399(2008)134:10(820) |
0.469 |
|
2008 |
Choi H, Mahadevan S. Construction Project Risk Assessment Using Existing Database and Project-Specific Information Journal of Construction Engineering and Management-Asce. 134: 894-903. DOI: 10.1061/(Asce)0733-9364(2008)134:11(894) |
0.306 |
|
2008 |
Rebba R, Mahadevan S. Computational methods for model reliability assessment Reliability Engineering and System Safety. 93: 1197-1207. DOI: 10.1016/J.Ress.2007.08.001 |
0.805 |
|
2008 |
Liu Y, Liu L, Stratman B, Mahadevan S. Multiaxial fatigue reliability analysis of railroad wheels Reliability Engineering & System Safety. 93: 456-467. DOI: 10.1016/J.Ress.2006.12.021 |
0.798 |
|
2008 |
Jiang X, Mahadevan S. Bayesian wavelet method for multivariate model assessment of dynamic systems Journal of Sound and Vibration. 312: 694-712. DOI: 10.1016/J.Jsv.2007.11.025 |
0.459 |
|
2008 |
McFarland J, Mahadevan S. Error and variability characterization in structural dynamics modeling Computer Methods in Applied Mechanics and Engineering. 197: 2621-2631. DOI: 10.1016/J.Cma.2007.07.029 |
0.425 |
|
2008 |
McFarland J, Mahadevan S. Multivariate significance testing and model calibration under uncertainty Computer Methods in Applied Mechanics and Engineering. 197: 2467-2479. DOI: 10.1016/J.Cma.2007.05.030 |
0.463 |
|
2008 |
Chen D, Mahadevan S. Chloride-induced reinforcement corrosion and concrete cracking simulation Cement & Concrete Composites. 30: 227-238. DOI: 10.1016/J.Cemconcomp.2006.10.007 |
0.389 |
|
2008 |
Jiang X, Mahadevan S. Bayesian wavelet methodology for structural damage detection Structural Control and Health Monitoring. 15: 974-991. DOI: 10.1002/Stc.230 |
0.448 |
|
2007 |
Mahadevan S, Rebba R. Model error quantification for reliability-based design Sae Technical Papers. DOI: 10.4271/2007-01-1743 |
0.773 |
|
2007 |
Griffith CD, Mahadevan S. The influence of fatigue on human performance: Meta-analysis of sleep deprivation effect on performance measures Ieee Conference On Human Factors and Power Plants. 291-296. DOI: 10.1109/HFPP.2007.4413222 |
0.611 |
|
2007 |
Chen D, Mahadevan S. Cracking Analysis of Plain Concrete under Coupled Heat Transfer and Moisture Transport Processes Journal of Structural Engineering-Asce. 133: 400-410. DOI: 10.1061/(Asce)0733-9445(2007)133:3(400) |
0.328 |
|
2007 |
Jiang X, Mahadevan S. Bayesian risk-based decision method for model validation under uncertainty Reliability Engineering & System Safety. 92: 707-718. DOI: 10.1016/J.Ress.2006.03.006 |
0.425 |
|
2007 |
Huang S, Mahadevan S, Rebba R. Collocation-based stochastic finite element analysis for random field problems Probabilistic Engineering Mechanics. 22: 194-205. DOI: 10.1016/J.Probengmech.2006.11.004 |
0.769 |
|
2007 |
Liu Y, Mahadevan S. Stochastic fatigue damage modeling under variable amplitude loading International Journal of Fatigue. 29: 1149-1161. DOI: 10.1016/J.Ijfatigue.2006.09.009 |
0.456 |
|
2007 |
Liu Y, Mahadevan S. A unified multiaxial fatigue damage model for isotropic and anisotropic materials International Journal of Fatigue. 29: 347-359. DOI: 10.1016/J.Ijfatigue.2006.03.011 |
0.442 |
|
2007 |
Liu Y, Liu L, Mahadevan S. Analysis of subsurface crack propagation under rolling contact loading in railroad wheels using FEM Engineering Fracture Mechanics. 74: 2659-2674. DOI: 10.1016/J.Engfracmech.2007.02.012 |
0.537 |
|
2007 |
Liu Y, Mahadevan S. Threshold stress intensity factor and crack growth rate prediction under mixed-mode loading Engineering Fracture Mechanics. 74: 332-345. DOI: 10.1016/J.Engfracmech.2006.06.003 |
0.369 |
|
2007 |
Stratman B, Liu Y, Mahadevan S. Structural health monitoring of railroad wheels using wheel impact load detectors Journal of Failure Analysis and Prevention. 7: 218-225. DOI: 10.1007/S11668-007-9043-3 |
0.775 |
|
2007 |
Chiralaksanakul A, Mahadevan S. Decoupled approach to multidisciplinary design optimization under uncertainty Optimization and Engineering. 8: 21-42. DOI: 10.1007/S11081-007-9014-2 |
0.358 |
|
2007 |
Jiang X, Mahadevan S, Adeli H. Bayesian wavelet packet denoising for structural system identification Structural Control and Health Monitoring. 14: 333-356. DOI: 10.1002/Stc.161 |
0.371 |
|
2006 |
Rebba R, Mahadevan S. Probabilistic assessment of CAE models Sae Technical Papers. DOI: 10.4271/2006-01-0456 |
0.786 |
|
2006 |
Rebba R, Mahadevan S. Model predictive capability assessment under uncertainty Aiaa Journal. 44: 2376-2384. DOI: 10.2514/1.19103 |
0.8 |
|
2006 |
Mahadevan S, Smith N. Efficient first-order reliability analysis of multidisciplinary systems International Journal of Reliability and Safety. 1: 137-154. DOI: 10.1504/Ijrs.2006.010694 |
0.611 |
|
2006 |
Rebba R, Huang S, Liu Y, Mahadevan S. Statistical validation of simulation models International Journal of Materials & Product Technology. 25: 164-181. DOI: 10.1504/Ijmpt.2006.008280 |
0.798 |
|
2006 |
Zou T, Mahadevan S, Mourelatos ZP. Adaptive trust regions and response surfaces for reliability analysis International Journal of Materials & Product Technology. 25: 84. DOI: 10.1504/Ijmpt.2006.008275 |
0.566 |
|
2006 |
Xu LR, Bhamidipati V, Mahadevan S. Progress in failure analysis of constrained shrinkage cracking in reinforced concretes Journal of Failure Analysis and Prevention. 6: 57-66. DOI: 10.1361/154770206X99325 |
0.333 |
|
2006 |
Mitchell KN, Mahadevan S. Model uncertainty in fluid-structure impact risk analysis American Society of Mechanical Engineers, Safety Engineering and Risk Analysis Division, Sera. DOI: 10.1115/IMECE2006-16189 |
0.771 |
|
2006 |
Zou T, Mahadevan S. Versatile formulation for multiobjective reliability-based design optimization Journal of Mechanical Design, Transactions of the Asme. 128: 1217-1226. DOI: 10.1115/1.2218884 |
0.616 |
|
2006 |
Mahadevan S, Rebba R. Inclusion of model errors in reliability-based optimization Journal of Mechanical Design, Transactions of the Asme. 128: 936-944. DOI: 10.1115/1.2204973 |
0.786 |
|
2006 |
Guratzsch RF, Mahadevan S. Sensor placement for aerospace vehicle health monitoring systems Earth and Space 2006 - Proceedings of the 10th Biennial International Conference On Engineering, Construction, and Operations in Challenging Environments. 2006: 2. DOI: 10.1061/40830(188)2 |
0.799 |
|
2006 |
Rebba R, Mahadevan S, Huang S. Validation and error estimation of computational models Reliability Engineering and System Safety. 91: 1390-1397. DOI: 10.1016/J.Ress.2005.11.035 |
0.772 |
|
2006 |
Rebba R, Mahadevan S. Validation of models with multivariate output Reliability Engineering and System Safety. 91: 861-871. DOI: 10.1016/J.Ress.2005.09.004 |
0.795 |
|
2006 |
Choi H, Lee S, Choi I, Cho H, Mahadevan S. Reliability-based failure cause assessment of collapsed bridge during construction Reliability Engineering & System Safety. 91: 674-688. DOI: 10.1016/J.Ress.2005.05.005 |
0.395 |
|
2006 |
Liu Y, Stratman B, Mahadevan S. Fatigue crack initiation life prediction of railroad wheels International Journal of Fatigue. 28: 747-756. DOI: 10.1016/J.Ijfatigue.2005.09.007 |
0.796 |
|
2006 |
Zou T, Mahadevan S. A direct decoupling approach for efficient reliability-based design optimization Structural and Multidisciplinary Optimization. 31: 190-200. DOI: 10.1007/S00158-005-0572-7 |
0.618 |
|
2005 |
Zou T, Mahadevan S. Multi-objective RBDO for automotive door quality design Sae Technical Papers. DOI: 10.4271/2005-01-0346 |
0.608 |
|
2005 |
Smith N, Mahadevan S. Integrating System-Level and Component-Level Designs Under Uncertainty Journal of Spacecraft and Rockets. 42: 752-760. DOI: 10.2514/1.6662 |
0.571 |
|
2005 |
Mahadevan S, Hollander B, Ni K, Mao H. Reliability analysis of stiffness degradation in automotive spot-welded joints International Journal of Reliability, Quality and Safety Engineering. 12: 1-17. DOI: 10.1142/S0218539305001690 |
0.591 |
|
2005 |
Liu Y, Mahadevan S. Strain-based multiaxial fatigue damage modelling Fatigue & Fracture of Engineering Materials & Structures. 28: 1177-1189. DOI: 10.1111/J.1460-2695.2005.00957.X |
0.426 |
|
2005 |
Mahadevan S, Rebba R. Validation of reliability computational models using bayes networks Reliability Engineering and System Safety. 87: 223-232. DOI: 10.1016/J.Ress.2004.05.001 |
0.8 |
|
2005 |
Liu Y, Mahadevan S. Multiaxial high-cycle fatigue criterion and life prediction for metals International Journal of Fatigue. 27: 790-800. DOI: 10.1016/J.Ijfatigue.2005.01.003 |
0.388 |
|
2005 |
Liu Y, Mahadevan S. Probabilistic fatigue life prediction of multidirectional composite laminates Composite Structures. 69: 11-19. DOI: 10.1016/J.Compstruct.2004.04.012 |
0.409 |
|
2005 |
Li Y, LeBoeuf EJ, Basu P, Mahadevan S. Stochastic modeling of the permeability of randomly generated porous media Advances in Water Resources. 28: 835-844. DOI: 10.1016/J.Advwatres.2005.01.007 |
0.354 |
|
2004 |
Zou T, Mourelatos ZP, Mahadevan S. Reliability analysis using Monte Carlo simulation and response surface methods Sae Technical Papers. DOI: 10.4271/2004-01-0431 |
0.588 |
|
2004 |
Zou T, Mourelatos ZP, Mahadevan S. Simulation-based reliability analysis of automotive wind noise quality Sae Technical Papers. DOI: 10.4271/2004-01-0238 |
0.446 |
|
2004 |
Knight M, Wilson G, Seger W, Mahadevan S. Overlay Types Used as Preventive Maintenance on Tennessee Bridge Decks Transportation Research Record. 1866: 79-84. DOI: 10.3141/1866-10 |
0.743 |
|
2004 |
Mahadevan S, Mao H. Probabilistic Fatigue–Creep Life Prediction of Composites Journal of Reinforced Plastics and Composites. 23: 361-371. DOI: 10.1177/0731684404031653 |
0.625 |
|
2004 |
Ni K, Mahadevan S. Probabilistic fatigue crack growth analysis of spot-welded joints Fatigue & Fracture of Engineering Materials & Structures. 27: 473-480. DOI: 10.1111/J.1460-2695.2004.00762.X |
0.373 |
|
2004 |
Ni K, Mahadevan S. Strain-based probabilistic fatigue life prediction of spot-welded joints International Journal of Fatigue. 26: 763-772. DOI: 10.1016/J.Ijfatigue.2003.10.021 |
0.396 |
|
2003 |
Rebba R, Mahadevan S, Zhang R. Validation of reliability prediction models Sae Technical Papers. DOI: 10.4271/2003-01-0875 |
0.793 |
|
2003 |
Mahadevan S, Hollander B, Ni K, Mao H. Spot-weld joint stiffness degradation under high mileage: Probabilistic analysis Sae Technical Papers. DOI: 10.4271/2003-01-0694 |
0.591 |
|
2003 |
Zou T, Mahadevan S, Mourelatos ZP, Meernik P. Reliability analysis of systems with nonlinear limit states; Application to automotive door closing effort Sae Technical Papers. DOI: 10.4271/2003-01-0142 |
0.554 |
|
2003 |
Smith N, Mahadevan S. Probabilistic Methods for Aerospace System Conceptual Design Journal of Spacecraft and Rockets. 40: 411-418. DOI: 10.2514/2.3961 |
0.545 |
|
2003 |
Mahadevan S, Ni K. Probabilistic fatigue life prediction of spot-welded joints International Journal of Materials and Product Technology. 19: 479-497. DOI: 10.1504/Ijmpt.2003.003466 |
0.397 |
|
2003 |
Zou T, Mahadevan S, Mourelatos ZP. Reliability-based evaluation of automotive wind noise quality Reliability Engineering and System Safety. 82: 217-224. DOI: 10.1016/S0951-8320(03)00170-4 |
0.585 |
|
2003 |
Mahadevan S, Ni K. Damage tolerance reliability analysis of automotive spot-welded joints Reliability Engineering and System Safety. 81: 9-21. DOI: 10.1016/S0951-8320(03)00057-7 |
0.381 |
|
2003 |
Zhang R, Mahadevan S. Bayesian methodology for reliability model acceptance Reliability Engineering & System Safety. 80: 95-103. DOI: 10.1016/S0951-8320(02)00269-7 |
0.474 |
|
2003 |
Shi P, Mahadevan S. Corrosion fatigue and multiple site damage reliability analysis International Journal of Fatigue. 25: 457-469. DOI: 10.1016/S0142-1123(03)00020-3 |
0.387 |
|
2002 |
Mahadevan S, Liu X. Probabilistic Analysis of Composite Structure Ultimate Strength Aiaa Journal. 40: 1408-1414. DOI: 10.2514/2.1802 |
0.36 |
|
2002 |
Tryon R, Dey A, Mahadevan S. Optimising the design of mechanical components for reliability and cost International Journal of Materials & Product Technology. 17: 338. DOI: 10.1504/Ijmpt.2002.005461 |
0.345 |
|
2002 |
Mao H, Mahadevan S. Probabilistic analysis of creep of metal-matrix composites Journal of Reinforced Plastics and Composites. 21: 587-602. DOI: 10.1177/0731684402021007024 |
0.56 |
|
2002 |
Zou T, Mahadevan S, Mourelatos ZP, Meernik P. Reliability analysis of automotive body-door subsystem Reliability Engineering & System Safety. 78: 315-324. DOI: 10.1016/S0951-8320(02)00178-3 |
0.612 |
|
2002 |
Mao H, Mahadevan S. Fatigue damage modelling of composite materials Composite Structures. 58: 405-410. DOI: 10.1016/S0263-8223(02)00126-5 |
0.597 |
|
2001 |
Mahadevan S, Raghothamachar P. Reliability Analysis of Space Exploration Truss Support Structures Journal of Spacecraft and Rockets. 38: 789-794. DOI: 10.2514/2.3746 |
0.397 |
|
2001 |
Mahadevan S, Zhang R. Fatigue test planning using reliability and confidence simulation International Journal of Materials and Product Technology. 16: 317-332. DOI: 10.1504/Ijmpt.2001.001268 |
0.471 |
|
2001 |
Mahadevan S, Dey A, Tryon R, Wang Y, Rousseau C. Reliability Analysis of Rotorcraft Composite Structures Journal of Aerospace Engineering. 14: 140-146. DOI: 10.1061/(Asce)0893-1321(2001)14:4(140) |
0.436 |
|
2001 |
Zhang R, Mahadevan S. Fatigue reliability analysis using nondestructive inspection Journal of Structural Engineering. 127: 957-965. DOI: 10.1061/(Asce)0733-9445(2001)127:8(957) |
0.457 |
|
2001 |
Mahadevan S, Shi P. Multiple linearization method for nonlinear reliability analysis Journal of Engineering Mechanics. 127: 1165-1173. DOI: 10.1061/(Asce)0733-9399(2001)127:11(1165) |
0.611 |
|
2001 |
Zhang R, Mahadevan S. Integration of computation and testing for reliability estimation Reliability Engineering & System Safety. 74: 13-21. DOI: 10.1016/S0951-8320(01)00008-4 |
0.422 |
|
2001 |
Mahadevan S, Zhang R, Smith N. Bayesian networks for system reliability reassessment Structural Safety. 23: 231-251. DOI: 10.1016/S0167-4730(01)00017-0 |
0.609 |
|
2001 |
Zhang R, Mahadevan S. Reliability-based reassessment of corrosion fatigue life Structural Safety. 23: 77-91. DOI: 10.1016/S0167-4730(01)00002-9 |
0.438 |
|
2001 |
Shi P, Mahadevan S. Damage tolerance approach for probabilistic pitting corrosion fatigue life prediction Engineering Fracture Mechanics. 68: 1493-1507. DOI: 10.1016/S0013-7944(01)00041-8 |
0.602 |
|
2001 |
Mahadevan S, Shi P. Corrosion fatigue reliability of aging aircraft structures Progress in Structural Engineering and Materials. 3: 188-197. DOI: 10.1002/Pse.77 |
0.612 |
|
2000 |
Liu X, Mahadevan S. Ultimate Strength Failure Probability Estimation of Composite Structures Journal of Reinforced Plastics and Composites. 19: 403-426. DOI: 10.1177/073168440001900505 |
0.337 |
|
2000 |
Mahadevan S, Hall JA. Uncertainties in Analysis of Inflatable Cylinders Scientific Programming. 349-355. DOI: 10.1061/40479(204)41 |
0.322 |
|
2000 |
Dey A, Mahadevan S. Reliability estimation with time-variant loads and resistances Journal of Structural Engineering New York, N.Y.. 126: 612-620. DOI: 10.1061/(Asce)0733-9445(2000)126:5(612) |
0.399 |
|
2000 |
Zhang R, Mahadevan S. Model uncertainty and Bayesian updating in reliability-based inspection Structural Safety. 22: 145-160. DOI: 10.1016/S0167-4730(00)00005-9 |
0.482 |
|
2000 |
Mao H, Mahadevan S. Reliability analysis of creep-fatigue failure International Journal of Fatigue. 22: 789-797. DOI: 10.1016/S0142-1123(00)00046-3 |
0.633 |
|
2000 |
Mahadevan S, Raghothamachar P. Adaptive simulation for system reliability analysis of large structures Computers & Structures. 77: 725-734. DOI: 10.1016/S0045-7949(00)00013-4 |
0.393 |
|
1998 |
Mahadevan S, Liu X. Probabilistic Optimum Design of Composite Laminates Journal of Composite Materials. 32: 68-82. DOI: 10.1177/002199839803200104 |
0.39 |
|
1998 |
Dey A, Mahadevan S. Ductile structural system reliability analysis using adaptive importance sampling Structural Safety. 20: 137-154. DOI: 10.1016/S0167-4730(97)00033-7 |
0.331 |
|
1997 |
Mahadevan S, Dey A. Adaptive Monte Carlo Simulation for Time-Variant Reliability Analysis of Brittle Structures Aiaa Journal. 35: 321-326. DOI: 10.2514/2.95 |
0.338 |
|
1997 |
Mahadevan S, Liu X, Xiao Q. A Probabilistic Progressive Failure Model of Composite Laminates Journal of Reinforced Plastics and Composites. 16: 1020-1038. DOI: 10.1177/073168449701601104 |
0.337 |
|
1996 |
Tryon RG, Cruse TA, Mahadevan S. Development of a reliability-based fatigue life model for gas turbine engine structures Engineering Fracture Mechanics. 53: 807-828. DOI: 10.1016/0013-7944(95)00138-7 |
0.409 |
|
1995 |
Mahadevan S, Xiao Q. Time-variant reliability of brittle structural systems Journal of Engineering Mechanics. 121: 414-423. DOI: 10.1061/(Asce)0733-9399(1995)121:3(414) |
0.412 |
|
1994 |
Cruse TA, Mahadevan S, Huang Q, Mehta S. Mechanical System Reliability and Risk Assessment Aiaa Journal. 32: 2249-2259. DOI: 10.2514/3.12284 |
0.379 |
|
1994 |
Xiao Q, Mahadevan S. Second-order upper bounds on probability of intersection of failure events Journal of Engineering Mechanics. 120: 670-674. DOI: 10.1061/(Asce)0733-9399(1994)120:3(670) |
0.334 |
|
1994 |
Xiao Q, Mahadevan S. Fast failure mode identification for ductile structural system reliability Structural Safety. 13: 207-226. DOI: 10.1016/0167-4730(94)90029-9 |
0.372 |
|
1994 |
Xiao Q, Mahadevan S. Plasticity effects on frame member reliability Structural Safety. 16: 201-214. DOI: 10.1016/0167-4730(94)00034-N |
0.387 |
|
1993 |
Mahadevan S, Mehta S. Dynamic reliability of large frames Computers and Structures. 47: 57-67. DOI: 10.1016/0045-7949(93)90278-L |
0.361 |
|
1992 |
Mahadevan S. Probabilistic optimum design of framed structures Computers and Structures. 42: 365-374. DOI: 10.1016/0045-7949(92)90032-U |
0.388 |
|
1991 |
Mahadevan S, Haldar A. Stochastic FEM-based validation of LRFD Journal of Structural Engineering (United States). 117: 1393-1412. DOI: 10.1061/(Asce)0733-9445(1991)117:5(1393) |
0.391 |
|
1991 |
Mahadevan S, Haldar A. Practical random field discretization in stochastic finite element analysis Structural Safety. 9: 283-304. DOI: 10.1016/0167-4730(91)90050-J |
0.368 |
|
1989 |
Mahadevan S, Haldar A. Efficient algorithm for stochastic structural optimization Journal of Structural Engineering (United States). 115: 1579-1598. DOI: 10.1061/(Asce)0733-9445(1989)115:7(1579) |
0.391 |
|
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