Structural reliability analysis on the basis of small samples: An interval quasi-Monte Carlo method
By Hao Zhang, Hongzhe Dai, Michael Beer, Wei Wang. 2013
154 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Numerical Analysis, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/5763cc34ec4305076f86418b09d96322278e1c30
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In Computational Theory and Mathematics
In Numerical Analysis
In Statistics and Probability
Citations in the corpus
- Reliability-based design optimization for problems with interval distribution parameters (2016, methodology): “(Zhang et al. 2013) constructed a probability model for uncertainty structures on the basis of limited information and proposed a quasi-Monte Carlo simulation methodology to compute the bounds of structural failure probability.”
- An efficient method for the estimation of structural reliability intervals with random sets, dependence modeling and uncertain inputs (2014, methodology): “Present paper is aimed to the goal of facilitating the Monte Carlo solution of the interval reliability computation, which is much more computationally demanding than the conventional computation of a single reliability value [23,28,29,47].”