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Sankaran Mahadevan
Sankaran Mahadevan
John R. Murray Sr. Professor of Engineering
在 vanderbilt.edu 的电子邮件经过验证 - 首页
标题
引用次数
年份
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
42023
Probabilistic physics-informed machine learning for dynamic systems
A Subramanian, S Mahadevan
Reliability Engineering & System Safety 230, 108899, 2023
42023
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
12023
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
152023
Non-intrusive estimation of model error and discrepancy in dynamics models
A Subramanian, S Mahadevan
Journal of Computational Physics 471, 111617, 2022
32022
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
22022
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
232022
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
32022
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
12022
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
22022
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
32022
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
62022
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
42022
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