混凝土内部钢筋锈蚀的磁记忆检测
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国家重点研发计划项目(2016YFC0802202);国家自然科学基金资助项目(51425801);重庆市教委科学技术研究项目(KJ1710262, KJ1500528, KJ1601005);重庆三峡学院青年团队项目(16QN10):三峡库区地质环境监测与灾害预警项目(市教委创新团队CXTDX201601034)


Magnetic Memory Detection of Rebar Corrosion in Concrete
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    摘要:

    将金属磁记忆技术引入到混凝土内部钢筋的锈蚀检测当中,根据锈蚀试件表面的磁场变化信息来定位其锈蚀区域,同时半定量化评估其锈蚀程度.首先对钢筋混凝土试件进行定位锈蚀,随后采用自主设计的磁记忆扫描设备进行检测,分析得到沿试件固定方向的磁感应强度分布曲线Byy,Byz以及反转高度曲线zfy.利用Byy曲线交点间的区域来定位试件的锈蚀区域,根据zfy曲线中反转高度zf值可半定量评估试件的锈蚀程度.结果表明:此方法可以实现混凝土未开裂期间的钢筋锈蚀检测,并能排除混凝土保护层厚度对检测效果的影响,具有较高的检测灵敏度.

    Abstract:

    Metal magnetic memory technology was applied to the detection of rebar corrosion in concrete. The corrosion area could be located and the corrosion degree could be evaluated according to the change of the magnetic signal on the surface of the corrosion specimen.A series of experiments were implemented by using a self designed magnetic memory scanning equipment to acquire the magnetic signal of the corrosion specimen. Then, the By y,By z and zf y graphs which reflect the magnetic field distribution of the corrosion specimen can be obtained. The corrosion area could be located according to the position and distance of two intersecting points in the graph of By y. The corrosion degree can be semi quantitatively evaluated according to the zf value in the graph of zf y. It has been proved by these experiments that this technique has a high detection sensitivity to be able to effectively detect rebar corrosion before the concrete is not cracked. It can exclude the effect of concrete thickness on the detection.

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杨茂,周建庭,张洪,廖棱,赵瑞强.混凝土内部钢筋锈蚀的磁记忆检测[J].建筑材料学报,2018,21(2):345-350

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  • 收稿日期:2017-03-13
  • 最后修改日期:2017-04-20
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  • 在线发布日期: 2018-04-27
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