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原文传递 Probabilistic Calibration of Stress-Strain Models for Confined Normal-Strength Concrete
题名: Probabilistic Calibration of Stress-Strain Models for Confined Normal-Strength Concrete
正文语种: eng
作者: Yu, Bo;Qin, Chenghui;Tao, Boxiong;Li, Bing
作者单位: Guangxi Univ Key Lab Engn Disaster Prevent & Struct Safety Guangxi Key Lab Disaster Prevent & Engn Safety Minist Educ Sch Civil Engn & Architecture Nanning 530004 Peoples R China;Guangxi Rd Construct Engn Grp Co Ltd Nanning 530004 Guangxi Peoples R China;Guangxi Polytech Construct Nanning 530007 Guangxi Peoples R China;Nanyang Technol Univ Sch Civil & Environm Engn Singapore 639798 Singapore
关键词: Confined concrete;Probabilistic calibration;Peak stress;Peak strain;Stress-strain curve;Bayesian theory;Markov chain Monte Carlo
摘要: 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. (C) 2021 American Society of Civil Engineers.
出版年: 2021
期刊名称: Journal of structural engineering
卷: 147
期: 8
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