Analyse probabiliste des pressions interstitielles d'un barrage en terre par éléments finis stochastiques basée sur des données de terrain

Autor: Mouyeaux, A., Carvajal, C., Bressolette, P., Peyras, L., Breul, Pierre, Bacconnet, C.
Přispěvatelé: Risques, Ecosystèmes, Vulnérabilité, Environnement, Résilience (RECOVER), Aix Marseille Université (AMU)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Aix Marseille Université (AMU)
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Engineering Geology
Engineering Geology, 2019, 259, pp.12. ⟨10.1016/j.enggeo.2019.105190⟩
Engineering Geology, Elsevier, 2019, 259, pp.12. ⟨10.1016/j.enggeo.2019.105190⟩
ISSN: 0013-7952
1872-6917
DOI: 10.1016/j.enggeo.2019.105190⟩
Popis: [Departement_IRSTEA]Eaux [TR1_IRSTEA]RIVAGE [ADD1_IRSTEA]Hydrosystèmes et risques naturels; International audience; Knowledge of pore water pressure in an earth dam is crucial for analysing its mechanical stability. In classical calculations of these pressures, great uncertainty exists regarding the permeability of the materials and the representation of their spatial variability. In this article, a probabilistic analysis of pore water pressures based on field data is performed to represent the permeability with a 2D random field established from statistical and geostatistical analyses. This random field is introduced in a model based on the Finite Element Method (FEM) and the influence of the spatial variability of permeability on pore water pressure is then studied using Monte-Carlo simulations (MCS).
Databáze: OpenAIRE
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