Evolutionary-based approaches for determining the deviatoric stress of calcareous sands

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{Shahnazari:2013:CG,
  author =       "Habib Shahnazari and Mohammad A. Tutunchian and 
                 Reza Rezvani and Fatemeh Valizadeh",
  title =        "Evolutionary-based approaches for determining the
                 deviatoric stress of calcareous sands",
  journal =      "Computer \& Geosciences",
  volume =       "50",
  month =        jan,
  pages =        "84--94",
  year =         "2013",
  note =         "Benchmark problems, datasets and methodologies for the
                 computational geosciences",
  keywords =     "genetic algorithms, genetic programming, Calcareous
                 sands, Dataset, Modeling, Triaxial experiments",
  ISSN =         "0098-3004",
  DOI =          "doi:10.1016/j.cageo.2012.07.006",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0098300412002312",
  abstract =     "Many hydrocarbon reservoirs are located near oceans
                 which are covered by calcareous deposits. These
                 sediments consist mainly of the remains of marine
                 plants or animals, so calcareous soils can have a wide
                 variety of engineering properties. Due to their local
                 expansion and considerable differences from terrigenous
                 soils, the evaluation of engineering behaviours of
                 calcareous sediments has been a major concern for
                 geotechnical engineers in recent years. Deviatoric
                 stress is one of the most important parameters directly
                 affecting important shearing characteristics of soils.
                 In this study, a dataset of experimental triaxial tests
                 was gathered from two sources. First, the data of
                 previous experimental studies from the literature were
                 gathered. Then, a series of triaxial tests was
                 performed on calcareous sands of the Persian Gulf to
                 develop the dataset. This work resulted in a large
                 database of experimental results on the maximum
                 deviatoric stress of different calcareous sands. To
                 demonstrate the capabilities of evolutionary-based
                 approaches in modelling the deviatoric stress of
                 calcareous sands, two promising variants of genetic
                 programming (GP), multigene genetic programming (MGP)
                 and gene expression programming (GEP), were applied to
                 propose new predictive models. The models' input
                 parameters were the physical and in-situ condition
                 properties of soil and the output was the maximum
                 deviatoric stress (i.e., the axial-deviator stress).
                 The results of statistical analyses indicated the
                 robustness of these models, and a parametric study was
                 also conducted for further verification of the models,
                 in which the resulting trends were consistent with the
                 results of the experimental study. Finally, the
                 proposed models were further simplified by applying a
                 practical geotechnical correlation.",
}

Genetic Programming entries for Habib Shahnazari Mohammad Amin Tutunchian Reza Rezvani Fatemeh Valizadeh

Citations