Probabilistic machine learning approach for structural reliability analysis-Reference-Cited by-同舟云学术

Probabilistic machine learning approach for structural reliability analysis

Published:2023-10 Issue: Volume:74 Page:103502
ISSN:0266-8920
Container-title:Probabilistic Engineering Mechanics
language:en
Short-container-title:Probabilistic Engineering Mechanics

Author:

Zhang Wenhao,Zhao Mi,Du Xiuli,Gao Zhidong,Ni Pinghe^ORCID

Funder

Beijing Municipal Commission of Education

Beijing Municipal Education Commission

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Mechanical Engineering,Ocean Engineering,Aerospace Engineering,Condensed Matter Physics,Nuclear Energy and Engineering,Civil and Structural Engineering,Statistical and Nonlinear Physics

Reference35 articles.

1. An enhanced PDEM-based framework for reliability analysis of structures considering multiple failure modes and limit states;Feng;Probab. Eng. Mech.,2022

2. Data-driven reliability assessment with scarce samples considering multidimensional dependence;Li;Probab. Eng. Mech.,2023

3. A Wiener path integral technique for determining the stochastic response of nonlinear oscillators with fractional derivative elements: A constrained variational formulation with free boundaries;Zhang;Probab. Eng. Mech.,2023

4. Efficient spreadsheet algorithm for first-order reliability method;Low;J. Eng. Mech.,2007

5. Second-order reliability methods: A review and comparative study;Hu;Struct. Multidiscip. Optim.,2021

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