Performance Prediction of Hybrid Bamboo-Reinforced Concrete Beams Using Gene Expression Programming for Sustainable Construction

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dc.contributor.authorWaqas, Hafiz Ahmed
dc.contributor.authorBahrami, Alireza
dc.contributor.authorSahil, Mehran
dc.contributor.authorPoshad Khan, Adil
dc.contributor.authorEjaz, Ali
dc.contributor.authorShafique, Taimoor
dc.contributor.authorTariq, Zain
dc.date.accessioned2024-02-23T14:35:12Z
dc.date.available2024-02-23T14:35:12Z
dc.date.issued2023
dc.departmentNEÜen_US
dc.description.abstractThe building and construction industry's demand for steel reinforcement bars has increased with the rapid growth and development in the world. However, steel production contributes to harmful waste and emissions that cause environmental pollution and climate change-related problems. In light of sustainable construction practices, bamboo, a readily accessible and eco-friendly building material, is suggested as a viable replacement for steel rebars. Its cost-effectiveness, environmental sustainability, and considerable tensile strength make it a promising option. In this research, hybrid beams underwent analysis through the use of thoroughly validated finite element models (FEMs), wherein the replacement of steel rebars with bamboo was explored as an alternative reinforcement material. The standard-size beams were subjected to three-point loading using FEMs to study parameters such as the load-deflection response, energy absorption, maximum capacity, and failure patterns. Then, gene expression programming was integrated to aid in developing a more straightforward equation for predicting the flexural strength of bamboo-reinforced concrete beams. The results of this study support the conclusion that the replacement of a portion of flexural steel with bamboo in reinforced concrete beams does not have a detrimental impact on the overall load-bearing capacity and energy absorption of the structure. Furthermore, it may offer a cost-effective and feasible alternative.en_US
dc.identifier.doi10.3390/ma16206788
dc.identifier.issn1996-1944
dc.identifier.issue20en_US
dc.identifier.pmid37895769en_US
dc.identifier.scopus2-s2.0-85175307028en_US
dc.identifier.urihttps://doi.org/10.3390/ma16206788
dc.identifier.urihttps://hdl.handle.net/20.500.12452/15931
dc.identifier.volume16en_US
dc.identifier.wosWOS:001089968500001en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherMdpien_US
dc.relation.ispartofMaterialsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectGreen Building Materialen_US
dc.subjectHybrid Beamsen_US
dc.subjectBamboo-Reinforced Concrete Beamen_US
dc.subjectFinite Element Modelen_US
dc.subjectReplacementen_US
dc.subjectGene Expression Programmingen_US
dc.titlePerformance Prediction of Hybrid Bamboo-Reinforced Concrete Beams Using Gene Expression Programming for Sustainable Constructionen_US
dc.typeArticleen_US

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