Benchmark of Emerging Structural Reliability Methods

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Resumé

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.
OriginalsprogEngelsk
Titel3th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP13
Publikationsdato26 maj 2019
DOI
StatusUdgivet - 26 maj 2019
Begivenhed13th International Conference on Applications of Statistics and Probability in Civil Engineering - Seoul National University, Seoul, Sydkorea
Varighed: 26 maj 201930 maj 2019
https://www.icasp13.snu.ac.kr/

Konference

Konference13th International Conference on Applications of Statistics and Probability in Civil Engineering
LokationSeoul National University
LandSydkorea
BySeoul
Periode26/05/201930/05/2019
Internetadresse

Fingerprint

Reliability analysis
Importance sampling
Set theory
Extrapolation
Chaos theory
Dynamical systems
Polynomials
Monte Carlo simulation

Citer dette

Sepúlveda, J. G., & Faber, M. H. (2019). Benchmark of Emerging Structural Reliability Methods. I 3th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP13 https://doi.org/10.22725/ICASP13.439
Sepúlveda, Juan G. ; Faber, Michael Havbro. / Benchmark of Emerging Structural Reliability Methods. 3th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP13. 2019.
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Sepúlveda, JG & Faber, MH 2019, Benchmark of Emerging Structural Reliability Methods. i 3th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP13., Seoul, Sydkorea, 26/05/2019. https://doi.org/10.22725/ICASP13.439

Benchmark of Emerging Structural Reliability Methods. / Sepúlveda, Juan G.; Faber, Michael Havbro.

3th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP13. 2019.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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AB - 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.

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Sepúlveda JG, Faber MH. Benchmark of Emerging Structural Reliability Methods. I 3th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP13. 2019 https://doi.org/10.22725/ICASP13.439