Gaussian Process Regression-Based Material Model for Stochastic Structural Analysis-Reference-Cited by-同舟云学术

Gaussian Process Regression-Based Material Model for Stochastic Structural Analysis

Published:2021-09 Issue:3 Volume:7 Page:04021025
ISSN:2376-7642
Container-title:ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
language:en
Short-container-title:ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng.

Author:

Chen Baixi¹^ORCID,Shen Luming²^ORCID,Zhang Hao³

Affiliation:

1. Ph.D. Candidate, School of Civil Engineering, Univ. of Sydney, NSW 2006, Australia. ORCID: .

2. Professor, School of Civil Engineering, Univ. of Sydney, NSW 2006, Australia (corresponding author). ORCID: .

3. Associate Professor, School of Civil Engineering, Univ. of Sydney, NSW 2006, Australia.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/AJRUA6.0001138

Reference48 articles.

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4. Boyle, P., and M. Frean. 2005. Multiple output Gaussian process regression. Wellington, New Zealand: Victoria Univ. of Wellington. https://doi.org/10.1.1.114.3898.

5. Data-Driven Computational Plasticity

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