Probabilistic Analysis at Ultimate Limit State of Strip Footings Resting on a Spatially Varying Soil Using Subset Simulation Approach

Abstract : The failure probability of geotechnical structures with spatially varying soil properties is generally computed using Monte Carlo simulation (MCS) methodology. This approach is well known to be very time-consuming when dealing with small failure probabilities. One alternative to MCS is the subset simulation approach. This approach was mainly used in the literature in cases where the uncertain parameters are modelled by random variables. In this paper, it is employed in the case where the uncertain parameters are modelled by random fields, because the spatial variability of the soil properties has proven to greatly affect the behavior of geotechnical structures and to induce a significant change in the variability of their responses. This is illustrated through the probabilistic analysis at the ultimate limit state (ULS) of a strip footing resting on a one-and two-layer purely cohesive soil with a spatially varying cohesion. The soil cohesion parameter was modeled as an anisotropic non-Gaussian (log-normal) random field using a square exponential autocorrelation function. The Expansion Optimal Linear Estimation (EOLE) method was used to discretize this random field. The deterministic model was based on numerical simulations using the finite difference software FLAC 3D .
Type de document :
Communication dans un congrès
5th International Symposium on Geotechnical Safety and Risk (5th ISGSR), Oct 2015, Rotterdam, Netherlands. Geotechnical Safety and Risk V. 〈10.3233/978-1-61499-580-7-328〉
Liste complète des métadonnées

Littérature citée [4 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-01730550
Contributeur : Mathias Legrand <>
Soumis le : mardi 13 mars 2018 - 13:06:23
Dernière modification le : vendredi 27 juillet 2018 - 11:18:06
Document(s) archivé(s) le : jeudi 14 juin 2018 - 14:08:40

Fichier

JTTAB.pdf
Fichiers éditeurs autorisés sur une archive ouverte

Identifiants

Collections

Citation

Jawad Thajeel, Tamara Al-Bittar, Ashraf Ahmed, Abdul-Hamid Soubra. Probabilistic Analysis at Ultimate Limit State of Strip Footings Resting on a Spatially Varying Soil Using Subset Simulation Approach. 5th International Symposium on Geotechnical Safety and Risk (5th ISGSR), Oct 2015, Rotterdam, Netherlands. Geotechnical Safety and Risk V. 〈10.3233/978-1-61499-580-7-328〉. 〈hal-01730550〉

Partager

Métriques

Consultations de la notice

242

Téléchargements de fichiers

24