Application of stochastic methods (genetic algorithm-tabu search) to identify the parameters of Mohr Coulomb model

Abstract

The problem of the choice of the parameters of soil is a difficult task, she requires many experiences. To answer this question, methods of identification of parameters, based on the principle of inverse analysis are developed who consist in adjusting a numerical model on observed experimental data. The objective of this work is to apply the principle of inverse analysis by using stochastic optimization methods (genetic algorithm and the genetic algorithm hybrid with tabu search) to identify the parameters (G, φ) of the constitutive soil model Mohr-Coulomb, from a real case of landslide of the Ciloc city of Constantine in Algeria. The Analysis of the results obtained showed that the best sets of parameters (G, φ) which minimize the deviation between the numerical model and the experiment are found by the genetic algorithm method.