Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Insights on 2D versus 3D Modeling of Strip Loading on Spatially Varying Random Soil Domain
This paper evaluates the assumption of plain strain idealization of a strip footing rested on spatially varying random soil domain. The strip footing is numerically modeled herein as a two-dimensional (2D) and a three-dimensional (3D) problem using finite element method to get insights on the effect of the geometrical modeling of the strip footing on spatially varying soil domain. Cholesky decomposition based random field theory combined with Monte Carlo simulation is used to generate multiple random simulation of spatially varying soil domain. The simulated spatially varying soil domain is then coupled with the finite element analysis to perform the probabilistic analysis of stress and displacement fields due to the strip loading. The present study indicates that the geometrical modeling of the strip loading affects significantly the statistical parameters defining the uncertainties in the response of the strip loading due to soil spatial variability.
Insights on 2D versus 3D Modeling of Strip Loading on Spatially Varying Random Soil Domain
This paper evaluates the assumption of plain strain idealization of a strip footing rested on spatially varying random soil domain. The strip footing is numerically modeled herein as a two-dimensional (2D) and a three-dimensional (3D) problem using finite element method to get insights on the effect of the geometrical modeling of the strip footing on spatially varying soil domain. Cholesky decomposition based random field theory combined with Monte Carlo simulation is used to generate multiple random simulation of spatially varying soil domain. The simulated spatially varying soil domain is then coupled with the finite element analysis to perform the probabilistic analysis of stress and displacement fields due to the strip loading. The present study indicates that the geometrical modeling of the strip loading affects significantly the statistical parameters defining the uncertainties in the response of the strip loading due to soil spatial variability.
Insights on 2D versus 3D Modeling of Strip Loading on Spatially Varying Random Soil Domain
Singhal, Ashu (Autor:in) / Vikash, Gyan (Autor:in) / Singhai, Sanshrit (Autor:in)
Geo-Congress 2023 ; 2023 ; Los Angeles, California
Geo-Congress 2023 ; 134-141
23.03.2023
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Insights on 2D versus 3D Modeling of Strip Loading on Spatially Varying Random Soil Domain
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