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Genetic algorithm in material model parameters’ identification for low-cycle fatigue (CROSBI ID 147067)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Franulović, Marina ; Basan, Robert ; Prebil, Ivan Genetic algorithm in material model parameters’ identification for low-cycle fatigue // Computational materials science, 45 (2009), 2; 505-510. doi: 10.1016/j.commatsci.2008.11.012

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

Povezanost rada

Strojarstvo

Poveznice
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