Reduced order modeling for nonlinear structural analysis using Gaussian process regression-Reference-Cited by-同舟云学术

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Reduced order modeling for nonlinear structural analysis using Gaussian process regression

Published:2018-11 Issue: Volume:341 Page:807-826
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:

Guo Mengwu^ORCID,Hesthaven Jan S.

Publisher

Elsevier BV

Subject

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

Reference49 articles.

1. Certified Reduced Basis Methods for Parametrized Partial Differential Equations;Hesthaven,2016

2. Reduced Basis Methods for Partial Differential Equations: An Introduction, vol. 92;Quarteroni,2015

3. Structural Sensitivity Analysis and Optimization 1: Linear Systems;Choi,2006

4. Structural Reliability Analysis and Prediction;Melchers,2017

5. Technology developments in structural health monitoring of large-scale bridges;Ko;Eng. Struct.,2005

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