Rutting depth prediction of hot mix asphalts modified with forta fiber using artificial neural networks and genetic programming technique

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@Article{Mirabdolazimi:2017:CBM,
  author =       "S. M. Mirabdolazimi and Gh. Shafabakhsh",
  title =        "Rutting depth prediction of hot mix asphalts modified
                 with forta fiber using artificial neural networks and
                 genetic programming technique",
  journal =      "Construction and Building Materials",
  volume =       "148",
  pages =        "666--674",
  year =         "2017",
  ISSN =         "0950-0618",
  DOI =          "doi:10.1016/j.conbuildmat.2017.05.088",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0950061817309753",
  abstract =     "The most significant problems in the maintenance of
                 highway networks are low strength against dynamic loads
                 and short service life of pavements. In recent years
                 using additive materials to improve the performance of
                 asphalt mix under dynamic loading has been remarkably
                 developed. Previous research show that adding
                 appropriate polymer materials to hot mix asphalt
                 improves the dynamic properties of these mixtures. A
                 series of dynamic creep test were conducted under
                 different temperatures and stress levels to evaluate
                 rutting performance of asphalt samples. The proposed
                 artificial neural networks (ANN) model for rutting
                 depth has shown good agreement with experimental
                 results. Beside, in this study a comparison is made
                 between the Burgers model and genetic programming (GP)
                 model in estimating the rutting depth of asphalt mix.
                 Performance of the genetic programming model is quite
                 satisfactory. The obtained results can be used to
                 provide an appropriate approach to enhance the
                 performance of asphalt pavements under dynamic loads.",
  keywords =     "genetic algorithms, genetic programming, HMA, Rutting
                 depth, Forta fiber, Artificial neural networks",
}

Genetic Programming entries for S M Mirabdolazimi Gholamali Shafabakhsh

Citations