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- Title
Reliability Analysis Based on Optimization Random Forest Model and MCMC.
- Authors
Fan Yang; Jianwei Ren
- Abstract
Based on the rapid simulation of Markov Chain on samples in failure region, a novel method of reliability analysis combiningMonte Carlo Markov Chain (MCMC) with random forest algorithmwas proposed. Firstly, a series of samples distributing around limit state function are generated by MCMC. Then, the samples were taken as training data to establish the random forest model. Afterwards, Monte Carlo simulation was used to evaluate the failure probability. Finally, examples demonstrate the proposed method possesses higher computational efficiency and accuracy.
- Subjects
MARKOV chain Monte Carlo; MONTE Carlo method; MARKOV processes; RANDOM forest algorithms; GENERATING functions; RANDOM fields
- Publication
Computer Modeling in Engineering & Sciences (CMES), 2020, Vol 125, Issue 2, p801
- ISSN
1526-1492
- Publication type
Academic Journal
- DOI
10.32604/cmes.2020.08889