Calculation of Plate Natural Frequency by Genetic Programming

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

@Article{Kumarci:2010:JAS,
  title =        "Calculation of Plate Natural Frequency by Genetic
                 Programming",
  author =       "K. Kumarci and P. K. Dehkordi and I. Mahmodi",
  year =         "2010",
  journal =      "Journal of Applied Sciences",
  volume =       "10",
  number =       "6",
  pages =        "451--461",
  publisher =    "Asian Network for Scientific Information",
  keywords =     "genetic algorithms, genetic programming, natural
                 frequency, modal analysis, plate",
  ISSN =         "18125654",
  bibsource =    "OAI-PMH server at www.doaj.org",
  language =     "eng",
  oai =          "oai:doaj-articles:1f6ec4417f06c7c11f1493e99485d4ed",
  URL =          "http://docsdrive.com/pdfs/ansinet/jas/2010/451-461.pdf",
  size =         "11 pages",
  abstract =     "This research emphasises the study of plate natural
                 frequency by Genetic Programming (GP). In this study we
                 tried to investigate the modelling of plates and modal
                 analysis by finite element method and FEM software. Six
                 parameters were used through plate modeling: length,
                 width, thickness, Poison's ratio, modulus of elasticity
                 and density. This study intends to estimate the natural
                 frequency of seven different metals as follow: high
                 strength low alloy steel, grey iron, aluminium by alloy
                 1100-H14 and 2014-T0 and copper, cold rolling steel and
                 malleable iron, which were different for metals. After
                 frequency estimation by fem software, 100 samples of
                 each metal were produced and GP was used for modal
                 training to choose the best model in metal modeling.
                 The mentioned model specifications have been produced
                 mathematically. Afterwards, 100 extra samples were
                 produced by FEM software. Using obtained models, all of
                 results were tested. The error percentage of GP models
                 and FEM software was compared and the results were
                 produced as diagram. Considering spread of matters, all
                 of stages are indicated only for high strength low
                 alloy steel and the list of the best GP models for
                 another metal is indicated in conclusion. Finally, due
                 to results, modal analysis simulation in plate natural
                 frequency was introduced by GP as a new method by GP.",
}

Genetic Programming entries for K Kumarci Pooya Khosraviyan Dehkordi I Mahmodi

Citations