小波时-频变换的高强钢丝弹性波传播模态分析 |
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引用本文: | 钱骥,陈鑫,杨金川.小波时-频变换的高强钢丝弹性波传播模态分析[J].应用声学,2017,36(6):548-557. |
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作者姓名: | 钱骥 陈鑫 杨金川 |
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作者单位: | 重庆交通大学,重庆交通大学土木工程学院,重庆交通大学土木工程学院 |
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基金项目: | 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) |
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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。
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关 键 词: | 高强钢丝,弹性波,纵向导波模态,小波时-频变换 |
收稿时间: | 2017/5/19 0:00:00 |
修稿时间: | 2017/10/24 0:00:00 |
Modal analysis of elastic wave propagating in highstrength steel wires based on wavelet time-frequency analysis |
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Institution: | Chongqing Jiaotong University,College of Civil Engineering, Chongqing Jiaotong University and College of Civil Engineering, Chongqing Jiaotong University |
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Abstract: | 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 is from one point vibration.Frequency dispersion curves of longitudinal modes in the range of 0-1.5MHz were obtained by solving Pochhammer frequency equation with numerical method. Then, finite element method was 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 finally. The results show that wavelet time-frequency transform method can accurately recognize the first, second and third order longitudinal modals in the frequency range of 0-1.5MHz;The wavelet time-frequency transform of time-histories data measured in the end section is in good agreement with the theoretical result, and the energy of separated first order longitudinal mode accounting for 92%. |
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Keywords: | High strength steel wire Elastic wave Longitudinal guide wave mode Wavelet time-frequency analysis |
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