Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Probabilistic analysis of strip footings resting on spatially varying soils using kriging metamodeling and importance sampling
https://orcid.org/0000-0002-3382-7069
https://orcid.org/0000-0003-4287-8295
Abstract This paper aims at computing the probability of failure of strip footings resting on a spatially varying soil and subjected to a vertical load. The active learning reliability method (called AK-IS) which is a combination of kriging metamodeling and importance sampling (IS) is used. The AK-IS technique significantly reduces the computation time with respect to the classical active learning reliability technique (called AK-MCS) combining kriging with Monte Carlo Simulations (MCS) by sampling around the design point. It was shown that the critical realization corresponding to the design point exhibits a perfect symmetry about the central vertical axis of the foundation.
Probabilistic analysis of strip footings resting on spatially varying soils using kriging metamodeling and importance sampling
https://orcid.org/0000-0002-3382-7069
https://orcid.org/0000-0003-4287-8295
Abstract This paper aims at computing the probability of failure of strip footings resting on a spatially varying soil and subjected to a vertical load. The active learning reliability method (called AK-IS) which is a combination of kriging metamodeling and importance sampling (IS) is used. The AK-IS technique significantly reduces the computation time with respect to the classical active learning reliability technique (called AK-MCS) combining kriging with Monte Carlo Simulations (MCS) by sampling around the design point. It was shown that the critical realization corresponding to the design point exhibits a perfect symmetry about the central vertical axis of the foundation.
Probabilistic analysis of strip footings resting on spatially varying soils using kriging metamodeling and importance sampling
https://orcid.org/0000-0002-3382-7069
https://orcid.org/0000-0003-4287-8295
Abstract This paper aims at computing the probability of failure of strip footings resting on a spatially varying soil and subjected to a vertical load. The active learning reliability method (called AK-IS) which is a combination of kriging metamodeling and importance sampling (IS) is used. The AK-IS technique significantly reduces the computation time with respect to the classical active learning reliability technique (called AK-MCS) combining kriging with Monte Carlo Simulations (MCS) by sampling around the design point. It was shown that the critical realization corresponding to the design point exhibits a perfect symmetry about the central vertical axis of the foundation.
Probabilistic analysis of strip footings resting on spatially varying soils using kriging metamodeling and importance sampling
Soubra, Abdul-Hamid (Autor:in) / Al-Bittar, Tamara (Autor:in) / Thajeel, Jawad (Autor:in) / Ahmed, Ashraf (Autor:in)
22.05.2019
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Kriging-Based Reliability Analysis of Strip Footings Resting on Spatially Varying Soils
| British Library Online Contents | 2018
| British Library Online Contents | 2014