Interval Monte Carlo methods for structural reliability
By Hao Zhang, Robert L. Mullen, Rafi L. Muhanna. 2010
236 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/8856c0400d6e58fddc1202d8372dd037e1719918
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In Civil and Structural Engineering
In Statistics and Probability
Citations in the corpus
- An efficient method for the estimation of structural reliability intervals with random sets, dependence modeling and uncertain inputs (2014, methodology): “[23,47]) have proposed a methodology, which is summarized here for the sake of convenience; their method can be regarded as a particularization of the method proposed by Alvarez [28,59] when the focal sets are mapped through the function g using the optimization method, as will be shown in the follo”
- Imprecise probabilities in engineering analyses (2013, unknown): “This theoretical lack (which also applies to evidence theory and p-boxes) is, however, generally without an e ect in practical applications so that stochastic simulations may be performed according to the distribution functions [104, 105].”
- Interval dynamic response analysis of vehicle-bridge interaction system with uncertainty (2013, background): “Alternatively, a discipline, called interval analysis [11,12], has been developed for structural analyses and for applied mechanics problems to account for the uncertainties.”
- Hybrid probabilistic interval analysis of bar structures with uncertainty using a mixed perturbation Monte-Carlo method (2011, methodology): “Second-order reliability theory [38], higher order moment method [39] and response surface method [40], Monte-Carlo simulation method [41,42], interval Monte-Carlo method [43] and other methods have been also used for reliability analysis.”