文章摘要
郑维刚,唐红,朱义东,赵振威,全顺权,张留杰.基于超声导波检测的角钢型材缺陷特性分析[J].声学技术,2021,40(1):57~63
基于超声导波检测的角钢型材缺陷特性分析
Analysis of defect characteristics of angle steel based on ultrasonic guided wave detection
投稿时间:2019-12-09  修订日期:2020-01-14
DOI:10.16300/j.cnki.1000-3630.2021.01.009
中文关键词: 腐蚀缺陷  角钢型材  数值模拟  超声兰姆波  频散特性
英文关键词: corrosion defect  angle steel section  numerical simulation  ultrasonic Lamb wave  dispersion characteristics
基金项目:
作者单位E-mail
郑维刚 国网辽宁省电力有限公司电力科学研究院, 辽宁沈阳 110006  
唐红 国网辽宁省电力有限公司电力科学研究院, 辽宁沈阳 110006  
朱义东 国网辽宁省电力有限公司电力科学研究院, 辽宁沈阳 110006  
赵振威 国网辽宁省电力有限公司电力科学研究院, 辽宁沈阳 110006  
全顺权 宁波永耀惠程电力科技有限公司, 浙江宁波 315000  
张留杰 宁波永耀惠程电力科技有限公司, 浙江宁波 315000 652465195@qq.com 
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中文摘要:
      输电线路铁塔长期暴露在大气环境之中受到腐蚀,会造成角钢型材不同位置出现壁厚减小的情况,严重时可能导致铁塔断裂倒塌。为此,对角钢型材内壁锈蚀情况的检测技术进行探究。首先,对超声兰姆波的传播机理进行分析,确定角钢型材超声兰姆波的检测模态;然后,基于有限元理论对角钢型材进行三维数值建模,通过数值模拟探究了导波在钢材中的传播特性,分析了不同激励信号频率下角钢型材端面回波的波形特征;最后,通过对不同位置、不同深度腐蚀缺陷的角钢型材进行数值模拟,得到不同缺陷状态下超声兰姆波在角钢型材中的传播特性。研究结果表明,所提检测方法能够有效检测出输电线路铁塔的缺陷,为实际应用提供参考依据。
英文摘要:
      The transmission line tower would be corroded due to long time exposure in the atmospheric environment, which results in wall thickness reduction at different positions of angle steel sections and even leads to fracture and collapse. Therefore, the corrosion detection method for the inner wall of transmission line tower needs to be studied. Firstly, the propagation mechanism of ultrasonic Lamb wave is analyzed to determine the frequency detection mode of ultrasonic Lamb wave suitable for angle steel sections. Then, based on the finite element theory, the three-dimensional numerical model of angle steel section is established, the propagation characteristics of guided wave in steel material are explored, and the echo waveform characteristics at the end of angle steel section for different excitation frequencies are analyzed. Finally, the propagation characteristics of ultrasonic Lamb wave in the angle steel section under different defect conditions are obtained by numerical simulation for the angle steel section with corrosion defects at different positions and depths. The results show that the proposed detection method can effectively detect the defects of transmission line tower and provide a reference for practical applications.
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