New Design Equations for Elastic Modulus of Concrete Using Multi Expression Programming

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@Article{Gandomi:2014:JCEM,

• author = "Amir H. Gandomi and Ali Faramarzifar and Peyman Ghanad Rezaee and Abazar Asghari and Siamak Talatahari",
• title = "New Design Equations for Elastic Modulus of Concrete Using Multi Expression Programming",
• journal = "Journal of Civil Engineering and Management",
• year = "2015",
• volume = "21",
• number = "6",
• pages = "761--774",
• month = aug,
• keywords = "genetic algorithms, genetic programming, tangent elastic modulus, normal and high strength concrete, multi expression programming, compressive strength, formulation",
• ISSN = "1392-3730",
• DOI = "doi:10.3846/13923730.2014.893910",
• size = "14 pages",
• abstract = "An innovative multi expression programming (MEP) approach is used to derive new predictive equations for tangent elastic modulus of normal strength concrete (NSC) and high strength concrete (HSC). Similar to several building codes, the modulus of elasticity of NSC and HSC is formulated in terms of concrete compressive strength. Furthermore, a generic model is developed for the estimation of the elastic modulus of both NSC and HSC. Comprehensive databases are gathered from the literature to develop the models. For more verification, a parametric analysis is carried out and discussed. The proposed formulas are found to be accurate for the prediction of the elastic modulus of NSC and HSC. The predictions made by the MEP-based models are more accurate than those obtained by the existing models.",

}

Genetic Programming entries for A H Gandomi Ali Faramarzifar Peyman Ghanad Rezaee Abazar Asghari Siamak Talatahari

Citations