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dc.contributor.authorYu, Boen_US
dc.contributor.authorYu, Zechengen_US
dc.contributor.authorLi, Bingen_US
dc.contributor.authorLi, Qimingen_US
dc.contributor.authorNing, Chaolieen_US
dc.identifier.citationYu, B., Yu, Z., Li, B., Li, Q. & Ning, C. (2022). Probabilistic classification criterion for failure modes of reinforced concrete columns. Journal of Earthquake Engineering, 1-21.
dc.description.abstractA probabilistic classification criterion was proposed to classify likely failure modes of reinforced concrete (RC) columns under seismic loading conditions. The accuracy and applicability of available flexure and shear strength models were scrutinized first to calculate the ratio of shear demand to shear strength (m). Then the probabilistic distribution characteristics of m, shear aspect ratio (λ), and transverse reinforcement ratio (ρ sv) were examined to determine the probability of RC columns failing in different failure modes. Subsequently, a probabilistic classification criterion for likely failure modes of RC columns was suggested by considering the coupling effects of m, λ and ρ sv. Finally, the classification accuracy of the proposed classification criterion was corroborated by comparing with existing classification criteria. Results reveal that the classification accuracy of the proposed probabilistic criterion is about 20% higher than those of existing classification criteria for RC columns failing in flexure, flexure-shear, and shear critical modes. The failure modes of RC columns progressively change from ductile flexure failure to flexure-shear, and then shear critical failure mode with the increase of m, and the decrease of λ and ρ sv.en_US
dc.relation.ispartofJournal of Earthquake Engineeringen_US
dc.rights© 2022 Taylor & Francis Group, LLC. All rights reserved.en_US
dc.subjectEngineering::Civil engineeringen_US
dc.titleProbabilistic classification criterion for failure modes of reinforced concrete columnsen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Civil and Environmental Engineeringen_US
dc.subject.keywordsReinforced Concrete Columnen_US
dc.subject.keywordsFailure Modesen_US
dc.description.acknowledgementThe financial support received from the National Natural Science Foundation of China (Grant Nos. 51668008 and 51738004), the Guangxi Science Fund for Distinguished Young Scholars (2019GXNSFFA245004) and the Natural Science Foundation of Guangxi Province (Grant No. 2018GXNSFAA281344), the Systematic Project of Guangxi Key Laboratory of Disaster Prevention and Structural Safety (2019ZDX010) is gratefully acknowledged.en_US
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