Genetic algorithm in material model parameters’ identification for low-cycle fatigue

• Published in: Computational materials science Vol. 45; no. 2; pp. 505 - 510
• Main Authors: Franulović, Marina, Basan, Robert, Prebil, Ivan
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.04.2009; Elsevier
• Subjects: Computer modelling; Computer simulation; Condensed matter: structure, mechanical and thermal properties; Exact sciences and technology; Fatigue, brittleness, fracture, and cracks; Genetic algorithm; Inelastic constitutive material model; Material parameter identification; Mechanical and acoustical properties of condensed matter; Mechanical properties of solids; Numerical optimization; Physics; Computer modelling; Inelastic constitutive material model; Numerical optimization; Computer simulation; 02.70.Uu; 07.05.Tp; Genetic algorithm; 07.05.Kf; 02.60.Pn; 62.20.me; 61.72.Hh; Material parameter identification; Constitutive equation; Cyclic loads; Computerized simulation; Low cycle fatigue; Optimization; Genetic algorithms; Calculation methods; Kinematic hardening; Plasticity; Modelling; Non linear effect; Damage
• ISSN: 0927-0256; 1879-0801
• DOI: 10.1016/j.commatsci.2008.11.012

The material model presented in this paper describes elasto-plastic behaviour of the material under a cyclic load application. It takes into account damage occurrence and accumulation in the material and it’s relation to isotropic and kinematic hardening or softening. The material constitutive model for description of low-cycle fatigue behaviour is highly non-linear and therefore its parameter identification requires complex numerical procedure, such as genetic algorithm (GA). Because of its complexity, the unique genetic operators’ routines in GA calculation procedure are developed to make possible fast and reliable convergence to the results. These routines are incorporated in developed software solution. The calculation resulted in identification of material parameters that are validated in comparing material response of numerical solution with experimental data.