Optimization-Based Selection of Sand Models

This chapter first aims to discuss the selection of sand models and the identification of their parameters with a genetic algorithm. Conventional triaxial tests on Hostun sand have been chosen as the objectives. Four relative simple constitutive models with gradually increasing numbers of features, referred to as MC (Mohr–Coulomb model), NLMC (nonlinear Mohr–Coulomb model), CS-NLMC (critical-state-based nonlinear Mohr–Coulomb model), and CS-TS (critical-state-based two-surface model), have been selected for optimization.