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作 者:李志刚[1] 马惠香 周建庭[3] 赵亚宇 张洪[3] LI Zhigang;MA Huixiang;ZHOU Jianting;ZHAO Yayu;ZHANG Hong(China Merchants Chongqing Communications Research&Design Institute Co.,Ltd.,Chongqing 400067,China;School of Public Administration,Chongqing Finance and Economics College,Chongqing 401320,China;School of Civil Engineering,Chongqing Jiaotong University,Chongqing 400074,China;Guangzhou Municipal Engineering Testing Co.,Ltd.,Guangzhou,Guangdong 510520,China)
机构地区:[1]招商局重庆交通科研设计院有限公司,重庆400067 [2]重庆财经学院公共管理学院,重庆401320 [3]重庆交通大学土木工程学院,重庆400074 [4]广州市市政工程试验检测有限公司,广东广州510520
出 处:《江苏大学学报(自然科学版)》2022年第2期230-234,248,共6页Journal of Jiangsu University:Natural Science Edition
基 金:国家重点研发计划项目(2020YFF0217801);国家自然科学基金资助项目(U20A20314);重庆市杰出青年科学基金资助项目(cstc2020jcyj-jqX0006);重庆市技术创新与应用发展专项重点项目(cstc2019jscx-gksbX0071)。
摘 要:为检测斜拉桥重要承载构件——钢绞线拉索锈蚀状况,引入金属磁记忆技术,结合缺陷漏磁信号检测磁偶极子模型,建立了钢绞线锈蚀缺陷漏磁模型,并开展钢绞线试件锈蚀缺陷漏磁信号有限元数值仿真模拟和试验验证.通过理论研究、仿真分析和试验验证,剖析了钢绞线锈蚀缺陷漏磁信号分布变化特征,构建了漏磁信号检测钢绞线锈蚀的判别准则.研究结果表明:钢绞线锈蚀程度和漏磁信号存在唯一对应关系,可通过检测钢绞线周围漏磁信号及其变化来判定钢绞线锈蚀程度.漏磁信号量纲一磁感应强度峰值与钢绞线锈蚀程度呈Boltzmann函数分布,可以将其作为判断试件锈蚀程度的特征量.The metal magnetic memory technology was introduced to detect the corrosion of steel strand as an important component of cable-stayed bridge.Combined with the magnetic dipole model of defect magnetic flux leakage detection,the magnetic flux leakage model of steel strand corrosion defect was established,and the magnetic flux leakage signal finite element numerical simulation and the experimental verification were carried out.Through theoretical research,simulation analysis and experimental verification,the distribution and variation characteristics of magnetic flux leakage signal of steel strand corrosion defects were analyzed,and the discrimination criteria of magnetic flux leakage signal detection of steel strand corrosion was constructed.The results show that there is unique corresponding relationship between the corrosion degree of steel strand and the magnetic flux leakage signal,and the corrosion degree of steel strand can be determined by detecting the magnitude and change of magnetic flux leakage signal around the steel strand.The normalized peak value of magnetic induction intensity for magnetic flux leakage signal and the corrosion degree of steel strand present Boltzmann function distribution,which can be used as the characteristic quantity to judge the corrosion degree of steel strand.
关 键 词:钢绞线 漏磁信号 金属磁记忆 锈蚀 磁感应强度 Boltzmann函数
分 类 号:U445.7[建筑科学—桥梁与隧道工程]
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