Formulation of shear strength of slender RC beams using gene expression programming, part II: With shear reinforcement

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@Article{Gandomi:2017:Measurement,

• author = "Amir H. Gandomi and Amir H. Alavi and Mostafa Gandomi and Sadegh Kazemi",
• title = "Formulation of shear strength of slender {RC} beams using gene expression programming, part II: With shear reinforcement",
• journal = "Measurement",
• volume = "95",
• pages = "367--376",
• year = "2017",
• ISSN = "0263-2241",
• DOI = "doi:10.1016/j.measurement.2016.10.024",
• URL = "http://www.sciencedirect.com/science/article/pii/S0263224116305723",
• abstract = "In this study, a new variant of genetic programming, namely gene expression programming (GEP) is used to predict the shear strength of reinforced concrete (RC) beams with stirrups. The derived model relates the shear strength to mechanical and geometrical properties. The model is developed using a database containing 466 experimental test results gathered from the literature. Sensitivity and parametric analyses are performed for further verification of the model. The comparative study proves the superior performance of the GEP model compared to the expressions developed in several codes of practice.",
• keywords = "genetic algorithms, genetic programming, Shear strength, Reinforced concrete beam, Normal and high-strength concrete, Stirrups, Gene expression programming, Formulation",

}

Genetic Programming entries for A H Gandomi A H Alavi Mostafa Gandomi Sadegh Kazemi

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