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An empirical model for shear capacity of RC deep beams using genetic-simulated annealing

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper presents an empirical model to predict the shear strength of RC deep beams. A hybrid search algorithm coupling genetic programming (GP) and simulated annealing (SA), called genetic simulated annealing (GSA), was utilized to develop mathematical relationship between the experimental data. Using this algorithm, a constitutive relationship was obtained to make pertinent the shear strength of deep beams to nine mechanical and geometrical parameters. The model was developed using an experimental database acquired from the literature. The results indicate that the proposed empirical model is properly capable of evaluating the shear strength of deep beams. The validity of the proposed model was examined by comparing its results with those obtained from American Concrete Institute (ACI) and Canadian Standard Association (CSA) codes. The derived equation is notably simple and includes several effective parameters.
Rocznik
Strony
354--369
Opis fizyczny
Bibliogr. 48 poz., rys., tab., wykr.
Twórcy
  • Department of Civil Engineering, The University of Akron, Akron, OH44325-3905, USA, a.h.gandomi@gmail.com
autor
  • Department of Civil and Environmental Engineering, Engineering Building, Michigan State University, East Lansing, MI 48824, USA, ah_alavi@hotmail.com
  • Civil Engineering Department, Ferdowsi University of Mashhad, Mashhad, Iran
autor
  • College of Civil Engineering, Tafresh University, Iran
Bibliografia
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-657e0536-1a01-4e01-9442-ffabca0fa5f2
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