Bayesian synergistic metamodeling (BSM) for physical information infused data-driven metamodeling-Reference-Cited by-同舟云学术

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Bayesian synergistic metamodeling (BSM) for physical information infused data-driven metamodeling

Published:2024-02 Issue: Volume:419 Page:116680
ISSN:0045-7825
Container-title:Computer Methods in Applied Mechanics and Engineering
language:en
Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Kuok Sin-Chi^ORCID,Yuen Ka-Veng

Publisher

Elsevier BV

Subject

Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Reference84 articles.

1. Theory of Modeling and Simulation;Zeigler,2000

2. Principles of Mathematical Modeling;Dym,2004

3. Modeling, analysis and reliability of seismically excited structures: computational issues;Fragiadakis;Int. J. Comput. Methods,2008

4. Mathematical Models in the Applied Sciences;Fowler,1997

5. Mathematical Modeling: Models, Analysis and Applications;Banerjee,2021

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1. Bayesian sparse grid (BSG) approach for information salvage in reliability assessment of deteriorating structures;Reliability Engineering & System Safety;2024-11

2. Telescopic broad Bayesian learning for big data stream;Computer-Aided Civil and Infrastructure Engineering;2024-07-24

3. A Novel Bayesian Empowered Piecewise Multi-Objective Sparse Evolution for Structural Condition Assessment;International Journal of Structural Stability and Dynamics;2024-05-21

4. EMR-SSM: Synchronous surrogate modeling-based enhanced moving regression method for multi-response prediction and reliability evaluation;Computer Methods in Applied Mechanics and Engineering;2024-03

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