Prediction of shear strength of FRP reinforced beams with and without stirrups using (GP) technique
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- @Article{EBID:2021:ASEJ,
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author = "Ahmed M. Ebid and A. Deifalla",
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title = "Prediction of shear strength of {FRP} reinforced beams
with and without stirrups using ({GP)} technique",
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journal = "Ain Shams Engineering Journal",
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volume = "12",
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number = "3",
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pages = "2493--2510",
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year = "2021",
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ISSN = "2090-4479",
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DOI = "doi:10.1016/j.asej.2021.02.006",
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URL = "https://www.sciencedirect.com/science/article/pii/S2090447921000885",
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keywords = "genetic algorithms, genetic programming, Shear
strength, FRP reinforced beams, With stirrups, Without
stirrups",
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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