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机构地区:[1]重庆交通大学土木工程学院,重庆400074 [2]重庆交通大学山区桥梁与隧道工程国家重点实验室培育基地,重庆400074
出 处:《应用声学》2017年第6期548-554,共7页Journal of Applied Acoustics
基 金:国家自然科学基金项目(51408090;51478347);重庆市基础与前沿研究计划项目(cstc2014jcyjA0947;cstc2015jcyjB0014);重庆交通大学研究生教育创新基金(20160106)
摘 要:超声导波是近年来桥梁拉索无损检测研究的重要方法之一。针对弹性波在高强钢丝介质中传播的多模态频散问题,采用单点时域波形的小波时频变换进行混叠信号的模态识别分离。通过数值求解Pochhammer频率超越方程,计算得到0~1.5 MHz范围内纵向导波模态理论频散曲线;采用有限元模拟半波正弦脉冲激励导波在钢丝中传播过程,由小波时-频变换得到导波模态分布,并进行了不同腐蚀程度钢丝实验对比分析。结果表明,经小波时-频变换得到的第1、2、3阶纵向导波模态与理论值对应吻合,单点时域波形的小波时-频变换结果能够有效识别高强钢丝中的导波模态;钢丝在无腐蚀状态下,一阶纵向导波模态能量占比达57.74%,随腐蚀程度增加,能量更为集中到一阶纵波模态,二阶模态能量逐渐减小。Ultrasonic guide wave is one of effective methods in studying nondestructive testing in bridge cables. In view of the multi-modal dispersion characteristics of elastic wave in high strength steel wires, this paper adopts the wavelet time-frequency transform method to identify and separate multi-modal signals which are from one point vibration. Frequency dispersion curves of longitudinal modes in the range of 0~1.5 MHz are obtained by solving Pochhammer frequency equation with numerical method. Then, finite element method is used to simulate the guide wave propagating in steel wire which is excited by a half sine pulse, and the guide wave modal is acquired by wavelet time-frequency analysis, and the experiment comparison analysis is carried out with different corrosion level wires finally. The results show that wavelet time-frequency transform method can accurately recognize the first, second and third order longitudinal mode, which illustrates that the wavelet time-frequency can recognize the guide wave mode effectively. The first order mode energy reaches to 57.74% when the wire is not corroded, and it can be more concentrated with the increasing of corrosion, meanwhile the second order mode energy degrades gradually.
分 类 号:U446[建筑科学—桥梁与隧道工程]
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