Predictions for Heterogeneous Soil Behavior: Towards a Probabilistic Characterization of Soil Design Parameters
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abstract
Abstract This paper presents the results of an ongoing effort at assimilating digital images obtained in the course of triaxial experiments on soil specimens into predictive models of soil behavior. It is shown that a combination of digital imagery and inverse analysis can delineate a heterogeneous structure of soil specimens formed under controlled laboratory conditions. The detection and characterization of this ever-present heterogeneity is significant for the numerical prediction of soil behavior and in particular for predictions associated with limit states such as the initiation of bifurcation phenomena. This characterization of heterogeneity can be used to develop a more thorough probabilistic characterization of mechanical properties of soils.
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Limit State Design in Geotechnical Engineering Practice
