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dc.contributor.authorKheyroddin, Ali
dc.contributor.authorAhmadi, Masoud
dc.contributor.authorKioumarsi, Mahdi
dc.date.accessioned2019-01-30T23:02:36Z
dc.date.accessioned2019-07-02T07:49:36Z
dc.date.available2019-01-30T23:02:36Z
dc.date.available2019-07-02T07:49:36Z
dc.date.issued2018-10-22
dc.identifier.citationKheyroddin A, Ahmadi, Kioumarsi MM: Using intelligent system approach for shear strength forecasting of steel fiber-reinforced concrete beams . In: Miguel, Schlicke D, Benboudjerna, Jedrzejewska A. SynerCrete'18: Interdisciplinary Approaches for Cement-based Materials and Structural Concrete: Synergizing Expertise and Bridging Scales of Space and Time. Vol. 1&2., 2018. Rilem publications p. 1029-1034en
dc.identifier.isbn978-2-35158-202-2
dc.identifier.urihttps://hdl.handle.net/10642/7242
dc.description.abstractPrevious studies have shown that brittle failure in reinforced concrete buildings caused huge losses, both in human and economic terms. The appropriate use of steel fibers to a reinforced concrete beam can change the brittle behavior to a ductile behavior and significantly increase the ductility ratio. The aim of this study is to develop an intelligent system approach for shear strength estimation of steel fiber-reinforced concrete (SFRC) beams without transversal reinforcement using a large number of existing experimental results. The main parameters in this investigation are the steel fiber-volume fraction, the aspect ratio and volume of fiber, compressive strength of concrete, longitudinal reinforcement, effective depth and shear span of beams. The precision of the proposed approach is compared with other existing models for estimating the shear capacity of SFRC beams based on experimental results which showed a reasonable agreement.en
dc.language.isoenen
dc.publisherRILEMen
dc.relation.ispartofseriesSynerCrete'18: Interdisciplinary Approaches for Cement-based Materials and Structural Concrete: Synergizing Expertise and Bridging Scales of Space and Time.;Vol. 1&2
dc.relation.urihttps://synercrete.com/wp-content/uploads/2018/10/SynerCrete18_Proceedings.pdf
dc.rightsCreative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/legalcodeen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectShear strengthen
dc.subjectConcreteen
dc.subjectSteel fiber-reinforced concreteen
dc.titleUsing intelligent system approach for shear strength forecasting of steel fiber-reinforced concrete beamsen
dc.typeChapter
dc.typeChapteren
dc.typePeer revieweden
dc.date.updated2019-01-30T23:02:36Z
dc.description.versionpublishedVersionen
dc.identifier.doihttps://dx.doi.org/10.5281/zenodo.1405563
dc.identifier.cristin1628902
dc.source.isbn978-2-35158-202-2


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Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/legalcode
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