2021
DOI: 10.1061/(asce)em.1943-7889.0001883
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Time-Dependent Structural Reliability Assessment for Nonstationary Non-Gaussian Performance Functions

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Cited by 10 publications
(2 citation statements)
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“…Based on the Poisson hypothesis model, Markov hypothesis model, or other improved models, the strategy transforms the cross-crossing rate into time-variant reliability. 31,32 Compared with MCS, the second strategy is more efficient. The third strategy is the surrogate model method.…”
Section: Time-variant Reliability Analysismentioning
confidence: 99%
“…Based on the Poisson hypothesis model, Markov hypothesis model, or other improved models, the strategy transforms the cross-crossing rate into time-variant reliability. 31,32 Compared with MCS, the second strategy is more efficient. The third strategy is the surrogate model method.…”
Section: Time-variant Reliability Analysismentioning
confidence: 99%
“…Breitung [3] derived the analytical expression of outcrossing rate for stationary Gaussian processes by asymptotic approximations for integrals. For nonstationary non-Gaussian performance functions, Cai et al [4] proposed a new analytical formula to obtain the mean outcrossing rate by transforming the performance functions into a standard Gaussian process. Andrieu-Renaud et al [1] developed the PHI2 method which applies FORM to the parallel system time-invariant reliability analysis to computes the outcrossing rate.…”
Section: Introductionmentioning
confidence: 99%