A genetic algorithm for the characterization of hyperelastic materials

J.R. Fernández, J.A. López-Campos, A. Segade and J.A. Vilán

Applied Mathematics and Computation, 2018, vol. 329, issue C, 239-250

Abstract: This work deals with the characterization of a hyperelastic material and the subsequent validation in different stressed states. The well-known three-parameter Mooney–Rivlin model is chosen for the sake of simplicity. In order to obtain the mechanical properties of this material, a specimen is tested using tensile forces. Once the tests are performed, the material constants are determined using a genetic algorithm to fit the experimental curve. An accurate fitness function is defined and the procedure to obtain the generations is described. Finally, with the aim to model and validate the results in a more complex setting, physical tests are performed in combination with numerical studies and FEM simulations.

Keywords: Hyperelasticity; FE analysis; Non-linear problem; Genetic algorithms (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:329:y:2018:i:c:p:239-250

DOI: 10.1016/j.amc.2018.02.008

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