锈蚀钢筋坑蚀因子概率分布模型研究
|
摘要
钢筋锈蚀后的形貌对于分析锈蚀钢筋力学性能退化规律及评定结构的安全性、预测其使用年限具有重要意义。锈坑作为锈蚀钢筋应力集中、延性降低的重要影响因素,其坑蚀因子概率分布是结构耐久性研究不可缺少的内容。对混凝土试块中50根通电加速锈蚀钢筋坑蚀因子的概率分布进行分析,探究不同锈蚀率、不同钢筋长度对钢筋坑蚀因子概率分布模型的影响。结果表明:混凝土中通电会引起锈蚀钢筋坑蚀因子概率分布模型服从对数正态分布,锈蚀率与钢筋长度不影响其概率分布类型,只影响坑蚀因子数值的均值和标准偏差。
The morphology of the corroded steel bar is of great significance to the analysis of the deterioration law of the mechanical properties of corroded rebar and the safety of the structure and the expected service life.As an important factor affecting the stress concentration and ductility reduction of corroded steel bars,the probability distribution of pitting corrosion factors is an indispensable element in the study of structural durability. In this paper,the probability distribution of 50 electric power accelerated corroded corrosion factors in concrete specimen is analyzed,and the influence of different corrosion rate and length of steel bar on the probability distribution model of the pitting corrosion factor is explored. The results show that the probability distribution model of pitting corrosion factor of corroded rebar will be caused by electric power in concrete,and the probability distribution type of corrosion rate and steel bar length are not affected,only the mean and standard deviation of pitting factor value are affected.
The morphology of the corroded steel bar is of great significance to the analysis of the deterioration law of the mechanical properties of corroded rebar and the safety of the structure and the expected service life.As an important factor affecting the stress concentration and ductility reduction of corroded steel bars,the probability distribution of pitting corrosion factors is an indispensable element in the study of structural durability. In this paper,the probability distribution of 50 electric power accelerated corroded corrosion factors in concrete specimen is analyzed,and the influence of different corrosion rate and length of steel bar on the probability distribution model of the pitting corrosion factor is explored. The results show that the probability distribution model of pitting corrosion factor of corroded rebar will be caused by electric power in concrete,and the probability distribution type of corrosion rate and steel bar length are not affected,only the mean and standard deviation of pitting factor value are affected.
引文
[1]张威.锈蚀钢筋表面特征的统计分析及其力学性能退化模型研究[D].西安:西安建筑科技大学,2013.
[2]6)Isa Yüksel.Rebar corrosion effects on structural behavior of buildings[J].Structural Engineering&Mechanics,2015,54(6):1111-1133.
[3]Weiping Zhang,Binbin Zhou,Xianglin Gu.Probability distribution model for cross-sectional area of corroded reinforcing steel bars[J].Journal of Materials in Civil Engineering,2014,26(5):822-832.
[4]GAO Yanhong,WU Yaling,ZHOU Qiaoping.Study on the randomness of pitting corrosion depth of steel bar in concrete under the chlorine ion environment[J].Journal of Natural Disasters,2014,23(1):221-228
[5]Silvia Caprili,J¨org Moersch,Walter Salvatore.Mechanical performance versus corrosion damage indicators for corroded steel reinforcing bars[J].Advances in Materials Science and Engineering,2015,2015(6):1-19.
[6]M.S.Darmawan.Pitting corrosion model for reinforced concrete structures in a chloride environment[J].Magazine of Concrete Research,2010,62(2):91-101.
[7]王青,徐港,卫军,等.混凝土中钢筋锈蚀深度比值的概率分布模型研究[J].工业建筑,2011,41(5):39-42.
[8]马亚丽,张爱林.氯离子环境下钢筋最大腐蚀深度与平均腐蚀深度比值的概率分布研究[J].工业建筑,2005,35(12):11-14.
[9]Mohammad M.Kashani,Adam J.Crewe,Nicholas A.Alexander.Use of a 3D optical measurement technique for stochastic corrosion pattern analysis of reinforcing bars subjected to accelerated corrosion[J].Corrosion Science,2013,73(13):208-221.
[10]魏仁,官晓涛,李大望.卡尺法和排水法测试钢筋表观参数的有效性分析[J].河南城建学院学报,2016,25(4):1-5.
[11]姜洪喜,任常愚,李海宝,等.光学三维形貌测量技术的分析和应用[J].黑龙江科技信息,2010(13):72-72.
[12]Standard practice for preparing,cleaning,and evaluating corrosion test Specimens[S].American Society For Testing and Materials G1-03,2004.
[13]朱宁,赵肖肖,唐庆华.多元正态性检验三种方法的比较及SAS程序设计[J].苏州大学学报(自然科学版),2012,28(3):20-25.
[14]Linwen Yu,Raoul Francois,Vu Hiep Dang.Distribution of corrosion and pitting factor of steel in corroded RC beams[J].Construction and Building Materials,2015,95:384-392.
[2]6)Isa Yüksel.Rebar corrosion effects on structural behavior of buildings[J].Structural Engineering&Mechanics,2015,54(6):1111-1133.
[3]Weiping Zhang,Binbin Zhou,Xianglin Gu.Probability distribution model for cross-sectional area of corroded reinforcing steel bars[J].Journal of Materials in Civil Engineering,2014,26(5):822-832.
[4]GAO Yanhong,WU Yaling,ZHOU Qiaoping.Study on the randomness of pitting corrosion depth of steel bar in concrete under the chlorine ion environment[J].Journal of Natural Disasters,2014,23(1):221-228
[5]Silvia Caprili,J¨org Moersch,Walter Salvatore.Mechanical performance versus corrosion damage indicators for corroded steel reinforcing bars[J].Advances in Materials Science and Engineering,2015,2015(6):1-19.
[6]M.S.Darmawan.Pitting corrosion model for reinforced concrete structures in a chloride environment[J].Magazine of Concrete Research,2010,62(2):91-101.
[7]王青,徐港,卫军,等.混凝土中钢筋锈蚀深度比值的概率分布模型研究[J].工业建筑,2011,41(5):39-42.
[8]马亚丽,张爱林.氯离子环境下钢筋最大腐蚀深度与平均腐蚀深度比值的概率分布研究[J].工业建筑,2005,35(12):11-14.
[9]Mohammad M.Kashani,Adam J.Crewe,Nicholas A.Alexander.Use of a 3D optical measurement technique for stochastic corrosion pattern analysis of reinforcing bars subjected to accelerated corrosion[J].Corrosion Science,2013,73(13):208-221.
[10]魏仁,官晓涛,李大望.卡尺法和排水法测试钢筋表观参数的有效性分析[J].河南城建学院学报,2016,25(4):1-5.
[11]姜洪喜,任常愚,李海宝,等.光学三维形貌测量技术的分析和应用[J].黑龙江科技信息,2010(13):72-72.
[12]Standard practice for preparing,cleaning,and evaluating corrosion test Specimens[S].American Society For Testing and Materials G1-03,2004.
[13]朱宁,赵肖肖,唐庆华.多元正态性检验三种方法的比较及SAS程序设计[J].苏州大学学报(自然科学版),2012,28(3):20-25.
[14]Linwen Yu,Raoul Francois,Vu Hiep Dang.Distribution of corrosion and pitting factor of steel in corroded RC beams[J].Construction and Building Materials,2015,95:384-392.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |