Probabilistic calibration of stress-strain models for confined normal-strength concrete
A probabilistic calibration for traditional deterministic stress-strain models of square confined concrete columns was conducted based on the proposed probabilistic stress-strain model and a large number of experimental data. The probabilistic models for both peak stress and peak strain (strain corr...
| 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/10356/160457 |
| _version_ | 1811682868299038720 |
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| author | Yu, Bo Qin, Chenghui Tao, Boxiong Li, Bing |
| author2 | School of Civil and Environmental Engineering |
| author_facet | School of Civil and Environmental Engineering Yu, Bo Qin, Chenghui Tao, Boxiong Li, Bing |
| author_sort | Yu, Bo |
| collection | NTU |
| description | A probabilistic calibration for traditional deterministic stress-strain models of square confined concrete columns was conducted based on the proposed probabilistic stress-strain model and a large number of experimental data. The probabilistic models for both peak stress and peak strain (strain corresponding to peak stress) of confined normal-strength concrete (NSC) were established first based on the Bayesian theory and the Markov chain Monte Carlo method. Then, a probabilistic stress-strain model of confined NSC was established based on the proposed probabilistic models for peak stress and peak strain. Finally, the confidence level and computational accuracy of four typical deterministic stress-train models of confined NSC were calibrated based on the proposed probabilistic models and a large amount of experimental data. The proposed probabilistic models not only describe the probabilistic characteristics of peak stress, peak strain, and the stress-strain curve, but also provide an efficient approach to calibrate the confidence level and computational accuracy of traditional deterministic models. |
| first_indexed | 2024-10-01T04:03:40Z |
| format | Journal Article |
| id | ntu-10356/160457 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:03:40Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | ntu-10356/1604572022-07-22T07:23:33Z Probabilistic calibration of stress-strain models for confined normal-strength concrete Yu, Bo Qin, Chenghui Tao, Boxiong Li, Bing School of Civil and Environmental Engineering Engineering::Civil engineering Peak Strain Bayesian Theory A probabilistic calibration for traditional deterministic stress-strain models of square confined concrete columns was conducted based on the proposed probabilistic stress-strain model and a large number of experimental data. The probabilistic models for both peak stress and peak strain (strain corresponding to peak stress) of confined normal-strength concrete (NSC) were established first based on the Bayesian theory and the Markov chain Monte Carlo method. Then, a probabilistic stress-strain model of confined NSC was established based on the proposed probabilistic models for peak stress and peak strain. Finally, the confidence level and computational accuracy of four typical deterministic stress-train models of confined NSC were calibrated based on the proposed probabilistic models and a large amount of experimental data. The proposed probabilistic models not only describe the probabilistic characteristics of peak stress, peak strain, and the stress-strain curve, but also provide an efficient approach to calibrate the confidence level and computational accuracy of traditional deterministic models. 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) is gratefully acknowledged. 2022-07-22T07:23:33Z 2022-07-22T07:23:33Z 2021 Journal Article Yu, B., Qin, C., Tao, B. & Li, B. (2021). Probabilistic calibration of stress-strain models for confined normal-strength concrete. Journal of Structural Engineering, 147(8), 04021117-. https://dx.doi.org/10.1061/(ASCE)ST.1943-541X.0003092 0733-9445 https://hdl.handle.net/10356/160457 10.1061/(ASCE)ST.1943-541X.0003092 2-s2.0-85107861206 8 147 04021117 en Journal of Structural Engineering © 2021 American Society of Civil Engineers. All rights reserved. |
| spellingShingle | Engineering::Civil engineering Peak Strain Bayesian Theory Yu, Bo Qin, Chenghui Tao, Boxiong Li, Bing Probabilistic calibration of stress-strain models for confined normal-strength concrete |
| title | Probabilistic calibration of stress-strain models for confined normal-strength concrete |
| title_full | Probabilistic calibration of stress-strain models for confined normal-strength concrete |
| title_fullStr | Probabilistic calibration of stress-strain models for confined normal-strength concrete |
| title_full_unstemmed | Probabilistic calibration of stress-strain models for confined normal-strength concrete |
| title_short | Probabilistic calibration of stress-strain models for confined normal-strength concrete |
| title_sort | probabilistic calibration of stress strain models for confined normal strength concrete |
| topic | Engineering::Civil engineering Peak Strain Bayesian Theory |
| url | https://hdl.handle.net/10356/160457 |
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