Skip to Main content Skip to Navigation
Book sections

Evolutionary identification of macro-mechanical models

Abstract : This chapter illustrates the potential of genetic programming (GP) in the field of macro­ mechanical modeling, addressing the problem of identification of a mechanical model for a material. Two kinds of models are considered. One-dimensional dynamic models are rep­resented via symbolic formulations termed rheological models, which are directly evolved by GP. Three-dimensional static models of hyperelastic materials are expressed in terms of strain energy functions. A model is rated based on the distance between the behavior predicted by the model, and the actual behavior of the material given by a set of me­ chanical experiments. The choice of GP is motivated by strong arguments, relying on the tree-structure of rheological models in the first case, and on the need for first and second order derivatives in the second case. Key issues are the exploration of viable individuals only, and the use of Gaussian mutations to optimize numerical constants.
Complete list of metadatas

Cited literature [28 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-00112301
Contributor : Marc Bonnet <>
Submitted on : Thursday, July 25, 2019 - 8:11:45 PM
Last modification on : Thursday, April 9, 2020 - 5:08:11 PM

File

Schoenauer1996.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00112301, version 1

Citation

Marc Schoenauer, Michèle Sebag, François Jouve, Bertrand Lamy, Habibou Maitournam. Evolutionary identification of macro-mechanical models. P. Angeline; J. Kinnear. Advances in Genetic Programming II, MIT Press, pp.467-488, 1996. ⟨hal-00112301⟩

Share

Metrics

Record views

274

Files downloads

62