Prediction of shear strength of FRP reinforced beams with and without stirrups using (GP) technique

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@Article{EBID:2021:ASEJ,

• author = "Ahmed M. Ebid and A. Deifalla",
• title = "Prediction of shear strength of {FRP} reinforced beams with and without stirrups using ({GP)} technique",
• journal = "Ain Shams Engineering Journal",
• volume = "12",
• number = "3",
• pages = "2493--2510",
• year = "2021",
• ISSN = "2090-4479",
• DOI = "doi:10.1016/j.asej.2021.02.006",
• URL = "https://www.sciencedirect.com/science/article/pii/S2090447921000885",
• keywords = "genetic algorithms, genetic programming, Shear strength, FRP reinforced beams, With stirrups, Without stirrups",
• abstract = "Although, international codes such as (CSA-S806-12) and (ACI-440-15) proposed shear design provisions for concrete beams reinforced with (FRP), many researchers are still investigating this case. Most of the available research investigated either beam without stirrups or beam with stirrups. The purpose of this study is to propose a unified formula for the prediction of the shear strength of FRP reinforced beams with and without stirrups. A collected experimental database of 553 shear tests on FRP reinforced concrete beams was used to develop a new formula to predict the shear strength using genetic programming technique. The accuracy of the proposed formula was compared with that measured during testing and calculated using the models available from literature. The new proposed formula showed more accurate predictions than the models from the literature, besides that, it is much simpler than them",

}

Genetic Programming entries for Ahmed M Ebid Ahmed Farouk Mohamed Hassan Deifalla

Citations