An importance sampling method for structural reliability analysis based on interpretable deep generative network-Reference-Cited by-同舟云学术

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An importance sampling method for structural reliability analysis based on interpretable deep generative network

Published:2023-03-01 Issue: Volume: Page:
ISSN:0177-0667
Container-title:Engineering with Computers
language:en
Short-container-title:Engineering with Computers

Author:

Xiang Zhengliang,He Xuhui^ORCID,Zou Yunfeng,Jing Haiquan

Funder

National Natural Science Foundation of China

Postdoctoral Research Foundation of China

Science and Technology Research and Development Program Project of China railway group limited

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,General Engineering,Modeling and Simulation,Software

Link

https://link.springer.com/content/pdf/10.1007/s00366-023-01790-2.pdf

Reference41 articles.

1. Ang AS, Tang W (1975) Probability concepts in engineering planning and design[M]. Wiley

2. Melchers RE (1999) Structural reliability analysis and prediction, 2nd edn. Wiley, West Sussex

3. Zhao YG, Ono T (1999) A general procedure for first/second-order reliability method (FORM/SORM)[J]. Struct Saf 21(2):95–112

4. Moustapha M, Marelli S, Sudret B (2022) Active learning for structural reliability: Survey, general framework and benchmark[J]. Struct Saf. https://doi.org/10.1016/j.strusafe.2021.102174

5. Guimarães H, Matos JC, Henriques AA (2018) An innovative adaptive sparse response surface method for structural reliability analysis[J]. Struct Saf 73:12–28

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