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Benchmark of Emerging Structural Reliability Methods

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dc.contributor.authorSepúlveda Astudillo, Juan Gonzalo-
dc.contributor.authorFaber, Michael Havbro-
dc.date.accessioned2019-05-14T03:09:45Z-
dc.date.available2019-05-14T03:09:45Z-
dc.date.issued2019-05-26-
dc.identifier.citation13th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP13), Seoul, South Korea, May 26-30, 2019-
dc.identifier.isbn979-11-967125-0-1-
dc.identifier.otherICASP13-439-
dc.identifier.urihttps://hdl.handle.net/10371/153535-
dc.description.abstractThe present contribution provides a benchmark on a selection of emerging methods for assessing structural reliability. The benchmark includes the Polynomial Chaos Expansion, the Subset Simulation, the Probability Density Evolution Method, the Monte Carlo Simulation Extrapolation Technique and the Robust Importance Sampling technique. The benchmark is conducted for a range of different typical categories of structural reliability problems, including time invariant, time variant and dynamic systems. For each of the considered categories of reliability analysis first the applicability of the different reliability analysis methods is assessed and thereafter the efficiency of the applicable methods is assessed and compared. The benchmark includes reliability analyses of several principal structural reliability problems of relevance in practice.-
dc.description.sponsorshipThe present research comprises parts of ongoing work conducted for and financed by DHRTC under activity CTR3. The DHRTC is warmly acknowledged for this support.-
dc.language.isoen-
dc.titleBenchmark of Emerging Structural Reliability Methods-
dc.typeConference Paper-
dc.identifier.doi10.22725/ICASP13.439-
dc.sortNo561-
dc.citation.pages2194-2201-
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