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A genetic algorithm for the characterization of hyperelastic materials

Author

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

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.

Suggested Citation

  • Fernández, J.R. & López-Campos, J.A. & Segade, A. & Vilán, J.A., 2018. "A genetic algorithm for the characterization of hyperelastic materials," Applied Mathematics and Computation, Elsevier, vol. 329(C), pages 239-250.
    • Handle: RePEc:eee:apmaco:v:329:y:2018:i:c:p:239-250
    DOI: 10.1016/j.amc.2018.02.008
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    References listed on IDEAS

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    1. Schimit, P.H.T., 2016. "Evolutionary aspects of spatial Prisoner’s Dilemma in a population modeled by continuous probabilistic cellular automata and genetic algorithm," Applied Mathematics and Computation, Elsevier, vol. 290(C), pages 178-188.
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    Cited by:

    1. Claudio Canales & Claudio García-Herrera & Eugenio Rivera & Demetrio Macías & Diego Celentano, 2023. "Anisotropic Hyperelastic Material Characterization: Stability Criterion and Inverse Calibration with Evolutionary Strategies," Mathematics, MDPI, vol. 11(4), pages 1-23, February.

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