Journal
STRUCTURAL SAFETY
Volume 71, Issue -, Pages 33-40Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.strusafe.2017.11.002
Keywords
Asymptotic sampling; Structural reliability; Reliability index; Failure probability; Computational stochastic analysis
Categories
Funding
- Austrian Science Fund (FWF) as part of the Vienna Doctoral Programme on Water Resource Systems [DK-plus W1219-N22]
Ask authors/readers for more resources
Asymptotic sampling is a recently developed method for calculating small failure probabilities of high-dimensional problems. It is based on Monte Carlo simulation, however, extremely small probabilities can be estimated with reasonable computational effort. The present paper presents an optimal strategy for using asymptotic sampling. In particular, it is explained in which cases the accuracy of the results can be increased by applying low-discrepancy sampling. A new surrogate technique is presented for obtaining accurate results also in cases in which low-discrepancy sampling is not applicable effectually. Furthermore, an extension of the method is shown for estimating threshold exceedance probabilities. (C) 2017 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available