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,
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author = "Amir H. Gandomi and Amir H. Alavi and
Mostafa Gandomi and Sadegh Kazemi",
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title = "Formulation of shear strength of slender {RC} beams
using gene expression programming, part II: With shear
reinforcement",
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journal = "Measurement",
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volume = "95",
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pages = "367--376",
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year = "2017",
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ISSN = "0263-2241",
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DOI = "doi:10.1016/j.measurement.2016.10.024",
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URL = "http://www.sciencedirect.com/science/article/pii/S0263224116305723",
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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.",
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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
Citations