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作 者:丁自豪 桑卜久 卢朝辉 余波[1] DING Zihao;SANG Bujiu;LU Zhaohui;YU Bo(School of Civil Engineering and Architecture,Guangxi University,Nanning 530004,China;School of Civil Engineering,Southwest Jiaotong University,Chengdu 610031,China;School of Civil Engineering and Architecture,Beijing University of Technology,Beijing 100124,China)
机构地区:[1]广西大学土木建筑工程学院,广西南宁530004 [2]西南交通大学土木工程学院,四川成都610031 [3]北京工业大学建筑工程学院,北京100124
出 处:《应用基础与工程科学学报》2022年第6期1468-1479,共12页Journal of Basic Science and Engineering
基 金:国家自然科学基金项目(52278162,62266005);广西杰出青年科学基金项目(2019GXNSFFA245004);广西自然科学基金项目(2018GXNSFAA281344)
摘 要:结合理论分析和209组试验数据,分别研究建立了锈蚀钢筋混凝土(RC)柱在大、小偏心受压条件下的概率抗弯承载力模型与概率校准分析方法.根据内力平衡条件,考虑锈蚀因素对钢筋和混凝土的材料性能及其二者粘结性能的影响,通过引入考虑不确定性的概率模型参数和模型误差,分别建立了锈蚀RC柱在大、小偏心受压条件下的概率抗弯承载力计算表达式,并利用Bayesian理论和马尔科夫链蒙特卡罗法确定了概率模型参数的后验信息,进而结合概率密度函数、置信区间和置信水平,校准了传统确定性抗弯承载力模型的计算精度.分析表明,概率抗弯承载力模型的计算精度较高,可以合理描述抗弯承载力所具有的随机性;对于大偏心受压锈蚀RC柱,现有模型的计算精度相对较高,而对于小偏心受压锈蚀RC柱,现有模型的计算精度较低、离散性较大.Probabilistic flexural capacity models and probabilistic calibration method for corroded reinforced concrete(RC)columns under both large and small eccentric compression were established by combining with theoretical analysis and 209 sets of test data.Expressions of probabilistic flexural capacity for corroded RC columns under both large and small eccentricity were derived by taking into account the equilibrium condition of internal force,the influences of corrosion on material and bond properties of steel bar and concrete,and the uncertainties of probabilistic model parameters and model error.The posterior information of probabilistic model parameters was obtained by the Bayesian theory and Markov Chain Monte Carlo(MCMC)method.Prediction accuracy of traditional deterministic models were calibrated based on the probability density function(PDF),confidence interval and confidence level.Analysis results show that the probabilistic flexural capacity models have high accuracy and it describes well the probabilistic characteristics of flexural capacity.The accuracy of traditional deterministic models for large eccentric compression was relatively high,but the accuracy of traditional deterministic models for small eccentric compression was relatively low and with large discreteness.
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