Genetic algorithm in material model parameters’ identification for low-cycle fatigue (CROSBI ID 147067)
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Podaci o odgovornosti
Franulović, Marina ; Basan, Robert ; Prebil, Ivan
engleski
Genetic algorithm in material model parameters’ identification for low-cycle fatigue
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 is highly non-linear and therefore it’ s parameter identification requires complex numerical procedure, such as genetic algorithm. Because of it’ s complexity, the unique genetic operators’ routines in genetic algorithm 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.
Inelastic constitutive material model; Material parameter identification; Genetic algorithm; Numerical optimization; Computer modelling; Computer simulation
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Podaci o izdanju
45 (2)
2009.
505-510
objavljeno
0927-0256
10.1016/j.commatsci.2008.11.012