应用科学学报 ›› 2016, Vol. 34 ›› Issue (1): 106-114.doi: 10.3969/j.issn.0255-8297.2016.01.012

• 信号与信息处理 • 上一篇    

钢桥疲劳裂缝的红外热成像无损检测

严园, 邹兰林, 周兴林   

  1. 武汉科技大学汽车与交通工程学院, 武汉 430081
  • 收稿日期:2015-05-19 修回日期:2015-09-05 出版日期:2016-01-30 发布日期:2016-01-30
  • 通信作者: 邹兰林,副教授,研究方向:桥梁检测与评估,E-mail:zll999-9@163.com,147461632@qq.com;周兴林,教授,博导,研究方向:交通信号控制与优化设计,E-mail:zxl65@163.com E-mail:zll999-9@163.com,147461632@qq.com;zxl65@163.com
  • 基金资助:

    国家自然科学基金(No.51578430);湖北省教育厅科学技术研究计划优秀中青年人才项目基金(No.Q20121109);湖北省交通运输厅科技项目基金(No.2014-721-1-9)资助

Nondestructive Inspection of Steel Bridge Based on Infrared Thermal Imaging

YAN Yuan, ZOU Lan-lin, ZHOU Xing-lin   

  1. College of Automobile and Traffic Engineering, Wuhan University of Science and Technology, Wuhan 430081, China
  • Received:2015-05-19 Revised:2015-09-05 Online:2016-01-30 Published:2016-01-30

摘要: 利用裂缝尖端应力集中的特点,提出一种钢桥疲劳裂缝无损检测方法.从理论上建立钢结构表面温度变化与其应力之间的本构关系模型,在实验中采用红外热成像法测试构件孔边畸变温度,计算构件相应点处的畸变应力,确定构件裂缝.以带孔平板为例,应用上述模型分析了周期荷载作用下圆孔周边点的应力和表面温度之间的关系.实验结果显示,当t=0.05 s时,圆孔左右节点温度降低达到最小值,上下节点温度升高达到最大值;当t=0.15 s时,左右节点温度升高达到最大值,上下节点温度降低达到最小值.实验结果符合理论模型,表明该检测方法可行.

关键词: 钢桥, 疲劳裂缝, 应力集中, 红外热成像, 无损检测

Abstract: A new inspection method is proposed to detect fatigue crack on steel bridges based on stress concentration features. The relationship between stress and temperature of the component is built theoretically. Fatigue cracks can be located by calculating distortion stress based on detection of temperature distortion of the component using an infrared thermal imager. As an example, consider a plate with a hole. Relationship between stress and temperature of the hole-edge spots is studied under cycle loads. The results show that the temperature of left/right spots decrease and top/bottom spots increase when t=0.05 s, and the temperature of left/right spots increase and top/bottom spots decrease when t=0.15 s. These agree with the theoretical result, and the mode test results show feasibility of the proposed method.

Key words: steel bridge, fatigue cracks, stress concentration, infrared thermal imaging, nondestructive testing

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