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dc.contributor.authorAli, Mohsin
dc.contributor.authorChen, Li
dc.contributor.authorFeng, Bin
dc.contributor.authorRusho, Maher Ali
dc.contributor.authorJelodar, Mostafa Babaeian
dc.contributor.authorSilva, Fabián Danilo
dc.contributor.authorLlamuca, José Luis Llamuca
dc.contributor.authorTasán Cruz, Dany Marcelo
dc.contributor.authorSamandari, Noormal
dc.date.accessioned2026-07-01T07:48:08Z
dc.date.available2026-07-01T07:48:08Z
dc.date.issued2025
dc.identifier.citationAli, M., Chen, L., Feng, B., Rusho, M. A., Jelodar, M. B., Silva, F. D., Llamuca, J. L. L., Tasán Cruz, D. M., y Samandari, N. (2025). Thermal and dynamic response of hybrid fiber-reinforced concrete to fire exposure: Experimental and computational approaches. CONSTRUCTION AND BUILDING MATERIALS, 478, 141397. https://doi.org/10.1016/j.conbuildmat.2025.141397es
dc.identifier.issn0950-0618, 1879-0526
dc.identifier.urihttp://hdl.handle.net/20.500.12251/4215
dc.description.abstractFire and explosive events pose significant threats to infrastructure, leading to devastating human and economic losses. To address this, Hybrid Fiber-Reinforced Concrete (HFRC) has emerged as a promising material due to its exceptional compressive strength (CS) and durability. However, its performance under extreme heat remains a critical concern. This study delves into the fire resistance of HFRC, exploring how it withstands high temperatures and dynamic loading conditions. Experimental tests were conducted on HFRC samples, incorporating steel fibers, synthetic fibers, superplasticizer, and fly ash, exposed to temperatures of 200 degrees C, 400 degrees C, 600 degrees C, and 800 degrees C for durations of 30, 60, 90, and 120 min. The results reveal intriguing trends: dynamic compressive strength (fcd) and specific energy absorption (SEA) initially increase, peaking at 200 degrees C, before declining at higher temperatures, while strain rate effects (epsilon) consistently rise. The optimal fcd threshold is identified at 400 degrees C, with synthetic fibers significantly enhancing dynamic properties, particularly at a 1.5 % fiber content. To further advance understanding, this study employs cutting-edge machine learning techniques, developing XGBoost models using 213 experimental data points. These models demonstrate remarkable predictive accuracy, with R-values of 0.998 (training), 0.920 (validation), and 0.899 (testing). Global Sensitivity Analysis underscores temperature and high strain rate as the most influential factors. By combining experimental insights with advanced predictive modelling, this research offers a comprehensive understanding of HFRC's behaviour under extreme conditions, paving the way for designing resilient, fire-resistant infrastructure. This work not only bridges critical knowledge gaps but also provides actionable tools for engineers and researchers striving to enhance structural safety in highrisk environments.es
dc.language.isoenges
dc.publisherElsevier Sci Ltdes
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleThermal and dynamic response of hybrid fiber-reinforced concrete to fire exposure: Experimental and computational approacheses
dc.typearticle
dc.identifier.doi10.1016/j.conbuildmat.2025.141397
dc.journal.titleCONSTRUCTION AND BUILDING MATERIALSes
dc.rights.accessRightsopenAccesses
dc.subject.keywordHormigónes
dc.subject.keywordEstructuras de hormigón armadoes
dc.subject.keywordAceroes
dc.subject.keywordMachine Learninges
dc.subject.keywordEconomía circulares
dc.subject.keywordViviendases
dc.subject.keywordEdificios saludableses
dc.subject.unesco3305.05 Tecnología del Hormigónes
dc.subject.unesco3305.32 Ingeniería de Estructurases
dc.subject.unesco3305.33 Resistencia de Estructurases
dc.subject.unesco3212 Salud Publicaes
dc.volume.number478
dc.item.number141397es


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