Formulation of uplift capacity of suction caissons using multi expression programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Amir Hossein Gandomi and Amir Hossein Alavi and 
                 Gun Jin Yun",
  title =        "Formulation of uplift capacity of suction caissons
                 using multi expression programming",
  journal =      "KSCE Journal of Civil Engineering",
  year =         "2011",
  volume =       "15",
  number =       "2",
  pages =        "363--373",
  month =        feb,
  keywords =     "genetic algorithms, genetic programming, multi
                 expression programming, suction caissons, uplift
                 capacity, formulation",
  publisher =    "Korean Society of Civil Engineers",
  ISSN =         "1226-7988",
  DOI =          "doi:10.1007/s12205-011-1117-9",
  language =     "English",
  size =         "11 pages",
  abstract =     "Suction caissons have increasingly been used as
                 foundations and anchors for deep water offshore
                 structures in the last decade. The increased use of
                 suction caissons defines a serious need to develop more
                 authentic methods for simulating their behaviour.
                 Reliable assessment of uplift capacity of caissons in
                 cohesive soils is a critical issue facing design
                 engineers. This paper proposes a new approach for the
                 formulation of the uplift capacity of suction caissons
                 using a promising variant of Genetic Programming (GP),
                 namely Multi Expression Programming (MEP). The proposed
                 model is developed based on experimental results
                 obtained from the literature. The derived MEP-based
                 formula takes into account the effect of aspect ratio
                 of caisson, shear strength of clayey soil, point of
                 application and angle of inclination of loading, soil
                 permeability and loading rate. A subsequent parametric
                 analysis is carried out and the trends of the results
                 are confirmed via previous studies. The results
                 indicate that the MEP formulation can predict the
                 uplift capacity of suction caissons with an acceptable
                 level of accuracy. The proposed formula provides a
                 prediction performance better than or comparable with
                 the models found in the literature. The MEP-based
                 simplified formulation is particularly valuable for
                 providing an analysis tool accessible to practising

Genetic Programming entries for A H Gandomi A H Alavi Gunjin Yun