Probabilistic classification criterion for failure modes of reinforced concrete columns
A 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...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/162193 |
| _version_ | 1824455016503574528 |
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| author | Yu, Bo Yu, Zecheng Li, Bing Li, Qiming Ning, Chaolie |
| author2 | School of Civil and Environmental Engineering |
| author_facet | School of Civil and Environmental Engineering Yu, Bo Yu, Zecheng Li, Bing Li, Qiming Ning, Chaolie |
| author_sort | Yu, Bo |
| collection | NTU |
| description | A 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. |
| first_indexed | 2025-02-19T03:31:30Z |
| format | Journal Article |
| id | ntu-10356/162193 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:31:30Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | ntu-10356/1621932022-10-10T00:52:29Z Probabilistic classification criterion for failure modes of reinforced concrete columns Yu, Bo Yu, Zecheng Li, Bing Li, Qiming Ning, Chaolie School of Civil and Environmental Engineering Engineering::Civil engineering Reinforced Concrete Column Failure Modes A 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. The 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. 2022-10-10T00:52:29Z 2022-10-10T00:52:29Z 2022 Journal Article Yu, 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. https://dx.doi.org/10.1080/13632469.2022.2041506 1363-2469 https://hdl.handle.net/10356/162193 10.1080/13632469.2022.2041506 2-s2.0-85125931907 1 21 en Journal of Earthquake Engineering © 2022 Taylor & Francis Group, LLC. All rights reserved. |
| spellingShingle | Engineering::Civil engineering Reinforced Concrete Column Failure Modes Yu, Bo Yu, Zecheng Li, Bing Li, Qiming Ning, Chaolie Probabilistic classification criterion for failure modes of reinforced concrete columns |
| title | Probabilistic classification criterion for failure modes of reinforced concrete columns |
| title_full | Probabilistic classification criterion for failure modes of reinforced concrete columns |
| title_fullStr | Probabilistic classification criterion for failure modes of reinforced concrete columns |
| title_full_unstemmed | Probabilistic classification criterion for failure modes of reinforced concrete columns |
| title_short | Probabilistic classification criterion for failure modes of reinforced concrete columns |
| title_sort | probabilistic classification criterion for failure modes of reinforced concrete columns |
| topic | Engineering::Civil engineering Reinforced Concrete Column Failure Modes |
| url | https://hdl.handle.net/10356/162193 |
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