Multi-fidelity physics-informed machine learning for probabilistic damage diagnosis S Miele, P Karve, S Mahadevan Reliability Engineering & System Safety 235, 109243, 2023 | | 2023 |
Investigation of Surrogate Modeling Options with High-Dimensional Input and Output Y Guo, S Mahadevan, S Matsumoto, S Taba, D Watanabe AIAA Journal 61 (3), 1334-1348, 2023 | | 2023 |
Reliability and risk metrics to assess operational adequacy and flexibility of power grids O Stover, P Karve, S Mahadevan Reliability Engineering & System Safety 231, 109018, 2023 | 4 | 2023 |
Probabilistic physics-informed machine learning for dynamic systems A Subramanian, S Mahadevan Reliability Engineering & System Safety 230, 108899, 2023 | 4 | 2023 |
Multi-Level Bayesian Calibration of a Multi-Component Dynamic System Model B Kapusuzoglu, S Mahadevan, S Matsumoto, Y Miyagi, D Watanabe Journal of Computing and Information Science in Engineering 23 (1), 011006, 2023 | | 2023 |
Discrepancy modeling for model calibration with multivariate output A White, S Mahadevan International Journal for Uncertainty Quantification 13 (6), 2023 | 1 | 2023 |
Correction: A comprehensive review of digital twin—part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives A Thelen, X Zhang, O Fink, Y Lu, S Ghosh, BD Youn, MD Todd, ... Structural and Multidisciplinary Optimization 66 (1), 23, 2023 | | 2023 |
Importance sampling for reliability assessment of dynamic systems under general random process excitation A Subramanian, S Mahadevan Probabilistic Engineering Mechanics 71, 103385, 2023 | | 2023 |
A comprehensive review of digital twin—part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives A Thelen, X Zhang, O Fink, Y Lu, S Ghosh, BD Youn, MD Todd, ... Structural and multidisciplinary optimization 66 (1), 1, 2023 | 15 | 2023 |
Non-intrusive estimation of model error and discrepancy in dynamics models A Subramanian, S Mahadevan Journal of Computational Physics 471, 111617, 2022 | 3 | 2022 |
Uncertainty quantification in characterization, modelling, and design of materials P Acar, A Tran, M Nikbay, S Mahadevan Frontiers in Materials 9, 1111499, 2022 | | 2022 |
Multi-metric validation under uncertainty for multivariate model outputs and limited measurements A White, S Mahadevan, J Schmucker, A Karl Journal of Verification, Validation and Uncertainty Quantification 7 (4), 041004, 2022 | 2 | 2022 |
A comprehensive review of digital twin—part 1: modeling and twinning enabling technologies A Thelen, X Zhang, O Fink, Y Lu, S Ghosh, BD Youn, MD Todd, ... Structural and Multidisciplinary Optimization 65 (12), 354, 2022 | 23 | 2022 |
Digital twin for component health-and stress-aware rotorcraft flight control W Sisson, P Karve, S Mahadevan Structural and Multidisciplinary Optimization 65 (11), 318, 2022 | 3 | 2022 |
Airport surface movement prediction and safety assessment with spatial–temporal graph convolutional neural network X Zhang, S Zhong, S Mahadevan Transportation research part C: emerging technologies 144, 103873, 2022 | 1 | 2022 |
Adaptive surrogate modeling for high-dimensional spatio-temporal output B Kapusuzoglu, S Mahadevan, S Matsumoto, Y Miyagi, D Watanabe Structural and Multidisciplinary Optimization 65 (10), 300, 2022 | 2 | 2022 |
Just-In-Time Learning for Operational Risk Assessment in Power Grids O Stover, P Karve, S Mahadevan, W Chen, H Zhao, M Tanneau, ... arXiv preprint arXiv:2209.12762, 2022 | | 2022 |
Probabilistic digital twin for additive manufacturing process design and control P Nath, S Mahadevan Journal of Mechanical Design 144 (9), 091704, 2022 | 3 | 2022 |
Diagnosis of internal cracks in concrete using vibro-acoustic modulation and machine learning S Miele, PM Karve, S Mahadevan, V Agarwal Structural Health Monitoring 21 (5), 1973-1991, 2022 | 6 | 2022 |
Diagnosis of interior damage with a convolutional neural network using simulation and measurement data Y Bao, S Mahadevan Structural Health Monitoring 21 (5), 2312-2328, 2022 | 4 | 2022 |