Formulation of elastic modulus of concrete using linear genetic programming

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@Article{Gandomi:2010:jMST,
  author =       "Amir Hossein Gandomi and Amir Hossein Alavi and 
                 Mohammad Ghasem Sahab and Parvin Arjmandi",
  title =        "Formulation of elastic modulus of concrete using
                 linear genetic programming",
  journal =      "Journal of Mechanical Science and Technology",
  year =         "2010",
  volume =       "24",
  number =       "6",
  pages =        "1273--1278",
  month =        jun,
  email =        "ah_alavi@hotmail.com, a.h.gandomi@gmail.com",
  keywords =     "genetic algorithms, genetic programming, Tangent
                 elastic modulus, Linear genetic programming,
                 Compressive strength, Normal and high strength
                 concrete, Formulation",
  ISSN =         "1738-494X",
  URL =          "http://www.springerlink.com/content/h0m3414774224425/",
  DOI =          "doi:10.1007/s12206-010-0330-7",
  size =         "6 pages",
  abstract =     "This paper proposes a novel approach for the
                 formulation of elastic modulus of both normal-strength
                 concrete (NSC) and high-strength concrete (HSC) using a
                 variant of genetic programming (GP), namely linear
                 genetic programming (LGP). LGP-based models relate the
                 modulus of elasticity of NSC and HSC to the compressive
                 strength, as similarly presented in several codes of
                 practice. The models are developed based on
                 experimental results collected from the literature. A
                 subsequent parametric analysis is further carried out
                 to evaluate the sensitivity of the elastic modulus to
                 the compressive strength variations. The results
                 demonstrate that the proposed formulae can predict the
                 elastic modulus with an acceptable degree of accuracy.
                 The LGP results are found to be more accurate than
                 those obtained using the buildings codes and various
                 solutions reported in the literature. The LGP-based
                 formulas are quite simple and straightforward and can
                 be used reliably for routine design practice.",
  notes =        "1Structural Health Monitoring Research Group, College
                 of Civil Engineering, Tafresh University, Tafresh,
                 Iran",
}

Genetic Programming entries for A H Gandomi A H Alavi Mohammad Ghasem Sahab Parvin Arjmandi

Citations