Coupled SelfSim and genetic programming for non-linear material constitutive modelling

Created by W.Langdon from gp-bibliography.bib Revision:1.3949

@Article{Gandomi:2015:IPSE,
  author =       "Amir H. Gandomi and Gun Jin Yun",
  title =        "Coupled {SelfSim} and genetic programming for
                 non-linear material constitutive modelling",
  journal =      "Inverse Problems in Science and Engineering",
  year =         "2015",
  volume =       "23",
  number =       "7",
  pages =        "1101--1119",
  keywords =     "genetic algorithms, genetic programming, inverse
                 analysis, artificial neural network, non-linear
                 material constitutive model, linear genetic
                 programming",
  URL =          "http://www.tandfonline.com/doi/abs/10.1080/17415977.2014.968149",
  DOI =          "doi:10.1080/17415977.2014.968149",
  abstract =     "In the present study, an improved SelfSim is combined
                 with a recent genetic programming technique called
                 linear GP (LGP) for the inverse extraction of
                 non-linear material behaviour. The SelfSim prepares a
                 comprehensive database including stresses and strains
                 of the structural elements. Then, a steady-state LGP is
                 used to formulate the strain-stress relationship. In
                 this research, a space truss with a reference material
                 model is used as a hypothetical structure. The derived
                 LGP-based formula is very simple and can be employed
                 for design and pre-design purposes. The implementation
                 of LGP-based model is also tested in a general purpose
                 finite element programme. Since the proposed model is
                 an explicit formula, its implementation becomes
                 standard and practically useful. The results show that
                 the procedure is reliable and can be used to derive and
                 formulate the non-linear constitutive material models
                 with a high degree of accuracy.",
}

Genetic Programming entries for A H Gandomi Gunjin Yun

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