Strength of Cfrp-steel double strap joints under impact loads using genetic programming

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

@Article{AlMosawe:2017:CS,
  author =       "Alaa Al-Mosawe and Robin Kalfat and Riadh Al-Mahaidi",
  title =        "Strength of Cfrp-steel double strap joints under
                 impact loads using genetic programming",
  journal =      "Composite Structures",
  volume =       "160",
  pages =        "1205--1211",
  year =         "2017",
  ISSN =         "0263-8223",
  DOI =          "doi:10.1016/j.compstruct.2016.11.016",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0263822316317767",
  abstract =     "Carbon fibre reinforced polymers (CFRPs) are widely
                 used by structural engineers to increase the strength
                 of existing structures subjected to different loading
                 actions. Existing steel structures are subjected to
                 impact loadings due to the presence of new types of
                 loads, and these structures need to be strengthened to
                 sustain the new applied loads. Design guidelines for
                 FRP-strengthened steel structures are not yet
                 available, due to the lack of understanding of bond
                 properties and bond strength. This paper presents the
                 application of genetic programming (GP) to predict the
                 bond strength of CFRP-steel double strap joints
                 subjected to direct tension load. Extensive data from
                 experimental tests and finite element modelling were
                 used to develop a new joint strength formulation. The
                 selected parameters which have a direct impact on the
                 joint strength were: bond length, CFRP modulus and the
                 loading rate. A wide range of loading rates and four
                 CFRP moduli with different bond lengths were used. The
                 prediction of the GP model was compared with the
                 experimental values. The model has a high value of R
                 squared, which indicates good accuracy of results.",
  keywords =     "genetic algorithms, genetic programming, Carbon fibre,
                 Genetic programing, Impact behaviour, Joint strength,
                 CFRP-steel joint",
}

Genetic Programming entries for Alaa Al-Mosawe Robin Kalfat Riadh Al-Mahaidi

Citations