An importance sampling reliability method combining Kriging and Gaussian Mixture Model through ring subregion strategy for multiple failure modes-Reference-Cited by-同舟云学术

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An importance sampling reliability method combining Kriging and Gaussian Mixture Model through ring subregion strategy for multiple failure modes

Published:2022-01-25 Issue:2 Volume:65 Page:
ISSN:1615-147X
Container-title:Structural and Multidisciplinary Optimization
language:en
Short-container-title:Struct Multidisc Optim

Author:

Jia Da-Wei,Wu Zi-Yan^ORCID

Funder

national natural science foundation of china

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization,Computer Graphics and Computer-Aided Design,Computer Science Applications,Control and Systems Engineering,Software

Link

https://link.springer.com/content/pdf/10.1007/s00158-021-03155-z.pdf

Reference47 articles.

1. Alban A, Darji HA, Imamura A, Nakayama MK (2017) Efficient Monte Carlo methods for estimating failure probabilities. Reliab Eng Syst Safe 165:376–394. https://doi.org/10.1016/j.ress.2017.04.001

2. Amin J, Gondaliya K, Mulchandani C (2021) Assessment of seismic collapse probability of RC shaft supported tank. Structures 33:2639–2658. https://doi.org/10.1016/j.istruc.2021.06.002

3. Bensi M, Kiureghian AD, Straub D (2013) Efficient Bayesian network modeling of systems. Reliab Eng Syst Safe 112:200–213. https://doi.org/10.1016/j.ress.2012.11.017

4. Bichon BJ, Eldred MS, Swiler LP (2008) Efficient global reliability analysis for nonlinear implicit performance functions. AIAA J 46(10):2459–2468. https://doi.org/10.2514/1.34321

5. Cadini F, Santos F, Zio E (2014) An improved adaptive Kriging-based importance technique for sampling multiple failure regions of low probability. Reliab Eng Syst Safe 131:109–117. https://doi.org/10.1016/j.ress.2014.06.023

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