Probabilistic calibration for development length models of deformed reinforcing bar
Probabilistic calibration for development length models of deformed reinforcing bar
复制标题
变形钢筋展开长度模型的概率校准
DOI：
10.1016/j.engstruct.2018.12.047
复制
发表时间：
2019-03
影响因子：
5.5
通讯作者：
Li Bing
中科院分区：
文献类型：
--
作者：
Yu Bo;Tang Ruikai;Li Bing
为了给选择合适的展开长度模型提供科学依据，建立了概率校准方法，综合评价了普通和高强混凝土中7种典型的变形钢筋确定性展开长度模型的准确性和适用性。基于部分开裂厚壁圆柱体模型，研究了混凝土抗压强度、混凝土保护层厚度、钢筋直径、钢筋拉应力、开裂混凝土残余抗拉强度、承载面摩擦力、有效承载角等重要因素对展开长度的影响。然后，基于贝叶斯理论和马尔可夫链蒙特卡罗（MCMC）方法，提出了一种涉及偶然和认知不确定性的概率发展长度模型。同时，提出了开发长度的关键概率特征，并提出了一种基于置信区间和置信水平的概率方法来校准可用的确定性开发长度模型。最后，对不同条件下现有的确定性开发长度模型的准确性和适用性进行了综合标定。
In order to provide a scientific basis for choosing the appropriate development length models, a probabilistic calibration method was developed to comprehensively evaluate the accuracy and applicability of seven typical deterministic development length models for deformed reinforcing bars (rebar) in normal and high-strength concrete. The influences of important factors (including compressive strength of concrete, concrete cover thickness, rebar diameter, tensile stress of reinforcement bar, residual tensile strength of cracked concrete, friction on bearing surface and effective bearing angle) on development length were investigated based on the partly cracked thick-walled cylinder model. Then a probabilistic development length model involving both aleatory and epistemic uncertainties was proposed based on the Bayesian theory and the Markov Chain Monte Carlo (MCMC) method. Meanwhile, key probabilistic characteristics of development length were presented and a probabilistic method was suggested to calibrate available deterministic development length models based on the confidence interval and the confidence level. Finally, the accuracy and applicability of available deterministic development length models under different conditions were calibrated comprehensively.
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DOI：
10.14359/10993
发表时间：
1977-03
期刊：
--
影响因子：
--
作者：
C. O. Orangun;J. Jirsa;J. Breen
通讯作者：
C. O. Orangun;J. Jirsa;J. Breen
影响因子：
2.2
作者：
Xiao-hui Wang;Xi-la Liu
通讯作者：
Xiao-hui Wang;Xi-la Liu
影响因子：
1.8
作者：
O. Choi;Woong Lee
通讯作者：
O. Choi;Woong Lee
影响因子：
1.8
作者：
Gerald G. Miller;Jennifer L. Kepler;D. Darwin
通讯作者：
Gerald G. Miller;Jennifer L. Kepler;D. Darwin
DOI：
10.1061/(asce)0899-1561(2004)16:4(365
发表时间：
2004-08
影响因子：
3.2
作者：
M. Harajli
通讯作者：
M. Harajli