Physics-guided generative adversarial network for probabilistic structural system identification

Author:

Yu YangORCID,Liu YongmingORCID

Funder

National Science Foundation

National Aeronautics and Space Administration

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference30 articles.

1. Arjovsky, M., Chintala, S., & Bottou, L. (2017). Wasserstein gan. arXiv Preprint, arXiv:1701.

2. Hierarchical Bayesian model updating for structural identification;Behmanesh;Mechanical Systems and Signal Processing,2015

3. Sparse Bayesian learning for structural damage identification;Chen;Mechanical Systems and Signal Processing,2020

4. Simultaneous Identification of Structural Parameter and External Excitation with an Improved Unscented Kalman Filter;Ding;Advances in Structural Engineering,2015

5. Extended Kalman filter for material parameter estimation in nonlinear structural finite element models using direct differentiation method;Ebrahimian;Earthquake Engineering & Structural Dynamics,2015

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