Benchmark of Emerging Structural Reliability Methods

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Abstract

The 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.
Original languageEnglish
Title of host publicationProceedings of the 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019
PublisherSeoul National University
Publication date26 May 2019
ISBN (Electronic)979-119671250195530
DOIs
Publication statusPublished - 26 May 2019
Event13th International Conference on Applications of Statistics and Probability in Civil Engineering - Seoul National University, Seoul, Korea, Republic of
Duration: 26 May 201930 May 2019
https://www.icasp13.snu.ac.kr/

Conference

Conference13th International Conference on Applications of Statistics and Probability in Civil Engineering
LocationSeoul National University
Country/TerritoryKorea, Republic of
CitySeoul
Period26/05/201930/05/2019
Internet address

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