Fan Yang1,2,3,*, Jianwei Ren1,2
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 801-814, 2020, DOI:10.32604/cmes.2020.08889
Abstract Based on the rapid simulation of Markov Chain on samples in
failure region, a novel method of reliability analysis combining Monte Carlo
Markov Chain (MCMC) with random forest algorithm was 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. More >
Login
Register
