Bayesian calibration of multi-level model with unobservable distributed response and application to miter gates

Author:

Jiang Chen,Vega Manuel A.,Ramancha Mukesh K.,Todd Michael D.,Conte Joel P.,Parno Matthew,Hu Zhen

Funder

U.S. Army Corps of Engineers

Engineer Research and Development Center

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Implementing data mining techniques for gas-turbine (GT) health tracking and life management: The bibliographic perspective;Expert Systems with Applications;2024-10

2. Data Augmentation Based on Image Translation for Bayesian Inference-Based Damage Diagnostics of Miter Gates;ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering;2024-07-26

3. Sensitivity-Based Model Update for Estimating Generalized Proportional Damping Parameters in a Finite-Element Model;ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering;2024-06

4. A modified Bayesian approach for model calibration with interval random observed data;2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS);2024-05-12

5. On the integration of Physics-Based Machine Learning with hierarchical Bayesian modeling techniques;Mechanical Systems and Signal Processing;2024-02

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