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钢筋加速非均匀锈蚀试验方法和锈蚀形态研究 被引量:9

Study on experimental method and morphology of accelerated non-uniform corrosion of steel bars
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摘要 采用自主发明的通电加速钢筋非均匀锈蚀试验方法,以不锈钢丝作为辅助电极对混凝土试件进行通电加速锈蚀,利用三维激光扫描技术获得不同锈蚀率下锈蚀钢筋的三维几何模型,研究采用该方法时锈蚀钢筋的不均匀性.研究发现,由此可以得到与实际自然锈蚀情况相似的不均匀锈蚀现象,即靠近不锈钢丝一侧锈蚀比较严重,远离不锈钢丝一侧锈蚀较少.根据对锈蚀钢筋纵向截面积的分析,建立不均匀系数R的概率分布模型,其值满足Gumbel极值分布;将模型与实际自然锈蚀的钢筋不均匀系数R的概率分布进行比较,进一步验证该方法用于评估钢筋混凝土构件承载力的可行性. An innovative test method of non-uniform corrosion was developed to investigate the non-uniformity of steel bar corrosion in concrete.The corrosion of steel bar in concrete was accelerated by the electrification between a pre-embedded stainless steel wire and the steel bar in concrete specimen.The 3D geometric model of steel bar corrosion at different corrosion rates was obtained using the 3D laser scanning technology.Results indicate that the non-uniform corrosion behavior of steel bar obtained by this method was similar to that from the condition of natural corrosion.That is,the corrosion in concrete near the stainless steel wire is much severer than that far away from the stainless steel wire.The probability distribution model of the non-uniform coefficient R,which was established from the longitudinal cross section area of corroded steel bar,agreed well with the Gumbel extreme value distribution.Compared with the probability distribution of the non-uniform coefficient R under natural corrosion,the feasibility of this method in evaluation of the bearing capacity for reinforced concrete members is further verified.
作者 金南国 何家豪 付传清 金贤玉 JIN Nan-guo;HE Jia-hao;FU Chuan-qing;JIN Xian-yu(College of Civil Engineering and Architecture,Zhejiang University,Hangzhou 310058,China;College of Civil Engineering and Architecture,Zhejiang University of Technology,Hangzhou 310014,China)
出处 《浙江大学学报(工学版)》 EI CAS CSCD 北大核心 2020年第3期483-490,共8页 Journal of Zhejiang University:Engineering Science
基金 国家“973”重点基础研究发展规划资助项目(2015CB655103) 国家自然科学基金资助项目(51978620,51678529,51578497).
关键词 通电锈蚀 不均匀性 三维激光扫描 概率分布 electrochemical corrosion non-uniformity 3D laser scanning probability distribution
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