A new reliability analysis method for uncertain structures with random and interval variables
By Chao Jiang, Gang Lu, L. X. Liu. 2012
100 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Computational Theory and Mathematics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/4d716381e5b2759ed5c4f15980d2fe9f7dcf68e3
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In Civil and Structural Engineering
In Computational Theory and Mathematics
In Statistics and Probability
Citations in the corpus
- Hybrid reliability analysis of structures with multi-source uncertainties (2013, methodology): “These include the function approximation technique [28], the iterative rescaling method [29], the probability bounds approach [30], the mixed perturbation Monte Carlo method [31], and the complex nesting optimization algorithm [32], among others [6,33–37].”
- Reliability-based design optimization under mixture of random, interval and convex uncertainties (2016, background): “[25,26] who assured that their solution algorithms can give consideration of both high computational efficiency and robust convergence performance.”