Modeling of the fatigue life of adhesively-bonded FRP joints with genetic programming

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

@InProceedings{Vassilopoulos:2009:ICCM,
  author =       "Anastasios P. Vassilopoulos and Thomas Keller",
  title =        "Modeling of the fatigue life of adhesively-bonded FRP
                 joints with genetic programming",
  booktitle =    "17th International Conference on Composite Materials,
                 ICCM-17",
  year =         "2009",
  pages =        "F13:13",
  address =      "Edinburgh, UK",
  month =        "27-31 " # jul,
  organisation = "IOM Communications Ltd on behalf of The British
                 Composites Society, a division of The Institute of
                 Materials, Minerals and Mining",
  note =         "CD-ROM",
  keywords =     "genetic algorithms, genetic programming, temperature",
  bibsource =    "OAI-PMH server at infoscience.epfl.ch",
  language =     "en",
  oai =          "oai:infoscience.epfl.ch:146571",
  URL =          "http://infoscience.epfl.ch/record/146571",
  URL =          "http://www.iccm-central.org/Proceedings/ICCM17proceedings/Themes/Behaviour/FATIGUE%20OF%20COMPOSITES/F13%2013%20Vassilopoulos.pdf",
  size =         "9 pages",
  abstract =     "Since recently, artificial neural network was the only
                 method that was used for the fatigue life modeling of
                 composite materials and structures. A novel, in this
                 field, computational technique, called genetic
                 programming, is used in this work to model the fatigue
                 life of adhesively-bonded FRP joints subjected to
                 tensile fatigue loading under different environmental
                 conditions.",
  notes =        "www.iccm17.org",
}

Genetic Programming entries for Anastasios P Vassilopoulos Thomas Keller

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