A hybrid computational approach to formulate soil deformation moduli obtained from PLT

Created by W.Langdon from gp-bibliography.bib Revision:1.4496

  author =       "Seyyed Mohammad Mousavi and Amir Hossein Alavi and 
                 Ali Mollahasani and Amir Hossein Gandomi",
  title =        "A hybrid computational approach to formulate soil
                 deformation moduli obtained from PLT",
  journal =      "Engineering Geology",
  volume =       "123",
  number =       "4",
  pages =        "324--332",
  year =         "2011",
  ISSN =         "0013-7952",
  DOI =          "doi:10.1016/j.enggeo.2011.09.005",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0013795211002183",
  keywords =     "genetic algorithms, genetic programming, Soil
                 deformation moduli, Soil physical properties, Simulated
                 annealing, Nonlinear modelling",
  abstract =     "In this study, new empirical equations were developed
                 to predict the soil deformation moduli using a hybrid
                 method coupling genetic programming and simulated
                 annealing, called GP/SA. The proposed models relate
                 secant (Es), unloading (Eu) and reloading (Er) moduli
                 obtained from plate load-settlement curves to the basic
                 soil physical properties. Several models with different
                 combinations of the influencing parameters were
                 developed and checked to select the best GP/SA models.
                 The database used for developing the models was
                 established upon a series of plate load tests (PLT)
                 conducted on different soil types at various depths.
                 The validity of the models was tested using parts of
                 the test results that were not included in the
                 analysis. The validation of the models was further
                 verified using several statistical criteria. A
                 traditional GP analysis was performed to benchmark the
                 GP/SA models. The contributions of the parameters
                 affecting Es, Eu and Er were analysed through a
                 sensitivity analysis. The proposed models are able to
                 estimate the soil deformation moduli with an acceptable
                 degree of accuracy. The Es prediction model has a
                 remarkably better performance than the models developed
                 for predicting Eu and Er. The simplified formulations
                 for Es, Eu and Er provide significantly better results
                 than the GP-based models and empirical models found in
                 the literature.",

Genetic Programming entries for Seyyed Mohammad Mousavi A H Alavi Ali Mollahasani A H Gandomi