Stochastic Finite Element Analysis for Spatial Variations of Soil Properties Using Kriging Techniqueby Kiyoshi Ishii, Ohsaki Research Inst, Japan,
Makoto Suzuki, Ohsaki Research Inst, Japan,
Abstract: When a reliability analysis for geotechnical problems is performed based on the stochastic finite element method, a proper estimation of spatial variation of soil properties is important for analytical results. A Kriging technique, which is incorporated for stochastic spatial interpolation, enables us to estimate effectively the spatial variation of a soil parameter, e.g., Young's modulus, with fully utilizing the observed data. The applicability of this approach to the first-order stochastic finite element analysis is investigated and the numerical results are compared with those obtained by the conditional simulation techniques.
Subject Headings: Finite element method | Stochastic processes | Soil analysis | Spatial analysis | Kriging | Soil modulus
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