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Soil parameter identification for cyclic loading

Abstract : An identification of soil parameters is performed by inverse analysis of two undrained triaxial cyclic tests on normally consolidated clay (kaolinite). A two-surface plasticity model is used for simulations and genetic algorithms are selected for the optimization procedure. First the problem of inverse analysis is formulated as a mono-objective problem, so that each test is considered separately and both sets of solutions are analyzed. Secondly, in order to take into account simultaneously the results of both tests, a multi-objective problem is considered and solved with a multi-objective genetic algorithm, which provides a set of equivalent solutions in terms of Pareto. Considering this set, a tradeoff is determined in order to fit at best the experimental and numerical curves for both tests and the relevance of the selected constitutive model is discussed.
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Submitted on : Friday, April 20, 2018 - 3:50:37 PM
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Aurélie Papon, Zhenyu Yin, Kevin Moreau, Yvon Riou, Pierre-Yves Hicher. Soil parameter identification for cyclic loading. 7th European Conference on Numerical Methods in Geotechnical Engineering (NUMGE 2010), Jun 2010, Trondheim, Norway. pp.113--118. ⟨hal-01736235⟩



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