Prediction of Concrete Faced Rock Fill Dams Settlements Using Genetic Programming Algorithm

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Seyed Morteza Marandi and 
                 Seyed Mahmood {VaeziNejad} and Elyas Khavari",
  title =        "Prediction of Concrete Faced Rock Fill Dams
                 Settlements Using Genetic Programming Algorithm",
  journal =      "International Journal of Geosciences",
  year =         "2012",
  volume =       "3",
  number =       "3",
  pages =        "601--609",
  publisher =    "Scientific Research Publishing",
  keywords =     "genetic algorithms, genetic programming, concrete
                 faced rock-fill dams, settlement, finite element
  ISSN =         "21568359",
  URL =          "",
  broken =       "\&genre=article\&issn=21568359\&date=2012\&volume=03\&issue=03\&spage=601",
  DOI =          "doi:10.4236/ijg.2012.33060",
  size =         "9 pages",
  abstract =     "In the present study a Genetic Programing model (GP)
                 proposed for the prediction of relative crest
                 settlement of concrete faced rock fill dams. To this
                 end information of 30 large dams constructed in seven
                 countries across the world is gathered with their
                 reported settlements. The results showed that the GP
                 model is able to estimate the dam settlement properly
                 based on four properties, void ratio of dam's body (e),
                 height (H), vertical deformation modulus (E$_{v}$) and
                 shape factor (Sc) of the dam. For verification of the
                 model applicability, obtained results compared with
                 other research methods such as Clements' formula and
                 the finite element model. The comparison showed that in
                 all cases the GP model led to be more accurate than
                 those of performed in literature. Also a proper
                 compatibility between the GP model and the finite
                 element model was perceived.",
  bibsource =    "OAI-PMH server at",
  language =     "eng",
  oai =          "oai:doaj-articles:a837bace82189b96000d4a2e20908f7b",

Genetic Programming entries for Seyed Morteza Marandi Seyed Mahmood VaeziNejad Elyas Khavari