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    A Feasibility Study of BBP for predicting shear capacity of FRP reinforced concrete beams without stirrups.

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    Author
    Golafshani, E.M.
    Ashour, Ashraf F.
    Keyword
    Shear capacity; FRP reinforced concrete; Biogeography-based programming; Evolutionary computation.
    Rights
    © 2016 Elsevier. Reproduced in accordance with the publisher's self-archiving policy.
    Peer-Reviewed
    yes
    
    Metadata
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    Abstract
    Shear failure of concrete elements reinforced with Fiber Reinforced Polymer (FRP) bars is generally brittle, requiring accurate predictions to avoid it. In the last decade, a variety of artificial intelligence based approaches have been successfully applied to predict the shear capacity of FRP Reinforced Concrete (FRP-RC). In this paper, a new approach, namely, biogeography-based programming (BBP) is introduced for predicting the shear capacity of FRP-RC beams based on test results available in the literature. The performance of the BBP model is compared with several shear design equations, two previously developed artificial intelligence models and experimental results. It was found that the proposed model provides the most accurate results in calculating the shear capacity of FRP-RC beams among the considered shear capacity models. The proposed BBP model can also correctly predict the trend of different influencing variables on the shear capacity of FRP-RC beams.
    URI
    http://hdl.handle.net/10454/7820
    Version
    Accepted Manuscript
    Citation
    Golafshani EM and Ashour AF (2016) A Feasibility Study of BBP for predicting shear capacity of FRP reinforced concrete beams without stirrups. Advances in Engineering Software. 97: 29-39.
    Link to publisher’s version
    http://doi.org/10.1016/j.advengsoft.2016.02.007
    Type
    Article
    Collections
    Engineering and Informatics Publications

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