基于概率损伤算法的复合材料板空气耦合Lamb波扫描成像

复合材料学报, 2015, 32(1): 227-235. doi: 10.13801/j.cnki.fhclxb.201501.004

基于概率损伤算法的复合材料板空气耦合Lamb波扫描成像

刘增华 ^1, , 樊军伟 ^2, , 何存富 ^3, , 吴斌 ^4,

1.北京工业大学机械工程及应用电子技术学院,北京,100124

2.北京工业大学机械工程及应用电子技术学院,北京,100124

3.北京工业大学机械工程及应用电子技术学院,北京,100124

4.北京工业大学机械工程及应用电子技术学院,北京,100124

基金项目: 北京市自然科学基金(1122007) 国家自然科学基金(50975006,11272021,51475012) 北京市属高等学校高层次人才引进与培养计划(CIT&TCD201304048)

关键词：空耦传感器 , 复合材料板 , Lamb波 , 连续小波变换 , 概率损伤算法

Scanning imaging of composite plate using air-coupled Lamb waves based on probabilistic damage algorithm

Keywords： air-coupled transducer , composite plate , Lamb waves , continuous wavelet transform , probabilistic damage algorithm

采用非接触空耦传感器在准各向同性复合材料板中激励出单一的Lamb波模态,用于分层缺陷的扫描检测.扫描时,激励和接收传感器置于复合材料板同侧并相对倾斜布置,传感器沿2个正交方向同步线性扫描,得到不同位置的检测信号.对不同扫描路径下的检测信号进行连续小波变换,提取激励频率下的小波系数包络信号,对分层缺陷进行成像.在此基础上,利用概率损伤算法定义损伤指数,结合不同方向的损伤指数实现分层缺陷成像.采用全加法和全乘法对2个正交扫描方向得到的成像结果进行数据融合,实现了分层缺陷的定位和重构.并在成像算法中引入阈值,进一步提高了分层缺陷的定位精度以及重构质量.

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