Constitutive modeling of Leighton Buzzard Sands using genetic programming

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  title =        "Constitutive modeling of Leighton Buzzard Sands using
                 genetic programming",
  author =       "Ali Firat Cabalar and Abdulkadir Cevik and 
                 Ibrahim H. Guzelbey",
  journal =      "Neural Computing and Applications",
  year =         "2010",
  number =       "5",
  volume =       "19",
  pages =        "657--665",
  keywords =     "genetic algorithms, genetic programming",
  publisher =    "Springer London",
  ISSN =         "0941-0643",
  DOI =          "doi:10.1007/s00521-009-0317-4",
  size =         "9 pages",
  abstract =     "This paper investigates the results of laboratory
                 experiments and numerical simulations conducted to
                 examine the behaviour of mixtures composed of coarse
                 (i.e. Leighton Buzzard Sand fraction B) and fine (i.e.
                 Leighton Buzzard Sand fraction E) sand particles.
                 Emphasis was placed on assessing the role of fines
                 content in mixture and strain level on the deviatoric
                 stress and pore water pressure generation using
                 experimental (i.e. Triaxial testing) and numerical
                 approaches (i.e. genetic programming, GP). The
                 experimental database used for GP modelling is based on
                 a laboratory study of the properties of saturated
                 coarse and fine sand mixtures with various mix ratios
                 under a 100 kPa effective stresses in a 100 mm diameter
                 conventional triaxial testing apparatus. Experimental
                 results show that coarse-fine sand mixtures exhibit
                 clay-like behavior due to particle-particle effects
                 with the increase in fines content. It is shown that GP
                 modeling of coarse-fine sand mixtures is observed to be
                 quite satisfactory. The results have implications in
                 the design of compressible particulate systems and in
                 the development of prediction tools for the field
                 performance coarse-fine sands.",
  affiliation =  "University of Gaziantep Geotechnical Engineering
                 Division, Department of Civil Engineering Gaziantep

Genetic Programming entries for Ali Firat Cabalar Abdulkadir Cevik Ibrahim H Guzelbey