(1 广西大学土木建筑工程学院， 南宁 530004； 2 工程防灾与结构安全教育部重点实验室，南宁 530004； 3 广西防灾减灾与工程安全重点实验室， 南宁 530004)

［摘要］为了分析钢筋混凝土（RC）梁抗剪承载力模型的计算精度和适用性，系统分析了国内外设计规范中6个比较典型的RC梁抗剪承载力模型的计算模式不定性。首先基于100组RC梁的抗剪承载力试验数据，对比分析了不同抗剪承载力模型的计算精度，确定了计算模式不定性的概率分布类型、均值和标准差等统计信息；然后分别确定了各抗剪承载力模型具有不同保证率时的计算模式不定性特征值，从而可以对各抗剪承载力模型进行修正。分析结果表明：中国、欧洲、美国和加拿大规范抗剪承载力模型的计算模式不定性服从对数正态分布，而澳大利亚和日本规范抗剪承载力模型的计算模式不定性服从移位瑞利分布。 

［关键词］钢筋混凝土梁； 抗剪承载力模型； 计算模式不定性； 概率统计特征 

中图分类号：TU375-1 文献标识码：A文章编号：1002-848X(2021)11-0082-06

Uncertainty analysis of computational models for shear strength of reinforced concrete beams 

YU  Bo1,2,3,  TAO  Xiaolei1,  DING  Zihao1 

(1 School of Civil Engineering and Architecture, Guangxi University， Nanning 530004， China；2 Key Laboratory of Disaster Prevention and Structural Safety of China Ministry of Education， Nanning 530004， China；3 Guangxi Key Laboratory of Disaster Prevention and Engineering Safety， Nanning 530004， China) 

Abstract: In order to analyze the computational accuracy and applicability of shear strength models of reinforced concrete (RC) beams, the computational model uncertainties of six typical shear strength models in different design codes of RC structures were investigated systematically. Firstly, based on 100 sets of tested data of shear strength of RC beams, the computational accuracy of different shear strength models were compared and analyzed, and the statistical information including probabilistic distribution type, mean value and standard deviation of computational model uncertainty were determined. Then the characteristic values of computational model uncertainty with different specific assurance rates were determined, which provides an approach to modify the shear strength models. Analysis results show that the computational model uncertainties of the Chinese, European, American, and Canadian code models yield the Lognormal distribution, while those of the Australian and Japanese code models yield the shifted Rayleigh distribution.  

Keywords:reinforced concrete beam； shear strength model； computational model uncertainty； probabilistic statistical characteristic

作者简介：余波，博士，教授，博士生导师，Email：gxuyubo@gxu.edu.cn。