Vliv redukce počtu návrhových parametrů při inverzní identifikaci parametrů nelineárních materiálových modelů s pomocí optimalizačních algoritmů

Vliv redukce počtu návrhových parametrů při inverzní identifikaci parametrů nelineárních materiálových modelů s pomocí optimalizačních algoritmů

článek ve sborníku ve WoS nebo Scopus

čeština

Inverse identification of physico-mechanical and fracture mechanical parameters of non-linear material models can be advantageously performed with aid of optimization techniques. The optimization problem is defined as effort to minimize the difference between curve obtained experimentally and curve originating from non-linear numerical simulation. The design vector of variables of optimization task is thus formed by parameters of used non-linear constitutive relation. The full design vector of variables can sometimes be reduced because some of parameters have low sensitivity to final shape of the curve. This reduction have positive effect to time consumption of the numerical solution but there is a question, how is the effect to accuracy of value of objective function. The submitted article deals with comparison of two optimization studies in which the influence of the reduction of the design vector to the value of the objective function and the time consumption was analyzed.

Inverse identification of physico-mechanical and fracture mechanical parameters of non-linear material models can be advantageously performed with aid of optimization techniques. The optimization problem is defined as effort to minimize the difference between curve obtained experimentally and curve originating from non-linear numerical simulation. The design vector of variables of optimization task is thus formed by parameters of used non-linear constitutive relation. The full design vector of variables can sometimes be reduced because some of parameters have low sensitivity to final shape of the curve. This reduction have positive effect to time consumption of the numerical solution but there is a question, how is the effect to accuracy of value of objective function. The submitted article deals with comparison of two optimization studies in which the influence of the reduction of the design vector to the value of the objective function and the time consumption was analyzed.

FEM, non-linear material model, optimization, inverse identification, design variables.

FEM, non-linear material model, optimization, inverse identification, design variables.

HOKEŠ, F.

2015

15. 10. 2015

Bratislava, Slovenská republika

978-80-227-4463-8

Proceedings of 13th International Conference of New Trends in Statics and Dynamics of Buildings

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