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dc.contributor.authorGolafshani, E.M.*
dc.contributor.authorAshour, Ashraf F.*
dc.date.accessioned2016-02-25T16:23:39Z
dc.date.available2016-02-25T16:23:39Z
dc.identifier.citationGolafshani 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.en_US
dc.identifier.urihttp://hdl.handle.net/10454/7820
dc.descriptionyesen_US
dc.description.abstractShear 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.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttp://doi.org/10.1016/j.advengsoft.2016.02.007en_US
dc.rights© 2016 Elsevier. Reproduced in accordance with the publisher's self-archiving policy.en_US
dc.subjectShear capacity; FRP reinforced concrete; Biogeography-based programming; Evolutionary computation.en_US
dc.titleA Feasibility Study of BBP for predicting shear capacity of FRP reinforced concrete beams without stirrups.en_US
dc.status.refereedyesen_US
dc.date.Accepted2016-02-18
dc.typeArticleen_US
dc.type.versionAccepted Manuscripten_US
refterms.dateFOA2018-07-25T13:23:22Z


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