复合材料T型接头损伤监测的概率成像方法  

The Probability Imaging Algorithm of Composite T-joint Damage Monitoring

作　　者：刘彬[1,2] 邱雷[1] 袁慎芳[1] 邵会学 张华[1] 

机构地区：[1]南京航空航天大学机械结构力学及控制国家重点实验室,南京210016 [2]空军勤务学院航空军交运输指挥系,徐州221006

出　　处：《振动．测试与诊断》2015年第3期519-524,593-594,共6页Journal of Vibration,Measurement & Diagnosis

基　　金：国家杰出青年基金资助项目(51225502);国家自然科学基金资助项目(51205189;50830201);中国博士后科学基金资助项目(2012M510134);江苏高校优势学科建设工程资助项目;"青蓝工程"资助项目;中央高校基本科研业务费专项资金资助项目(NN2012051);高等学校博士学科点专项科研基金资助项目(20123218120007);航空科学基金资助项目(20140952)

摘　　要：T型接头是复合材料典型的结构形式和重要的损伤监测部位,但其存在变厚度、内填充以及材料各向异性等复杂结构特性,导致依赖于信号传播速度的延迟-累加等基于压电传感器阵列和Lamb波的结构健康监测成像方法难以实现其损伤的准确监测。针对此问题,研究了一种与信号传播速度无关的损伤概率成像方法。该方法利用压电激励-传感网络通道的损伤因子,通过椭圆轨迹法确定各通道损伤因子的有效影响区域,然后对各通道损伤因子的椭圆影响区域合成进行成像,实现了复合材料T型接头损伤的准确监测,并使用超声C扫描进行了验证。实验结果表明,利用损伤因子可以在线监测复合材料T型接头的健康状态并实现损伤预警,在此基础上利用损伤概率成像方法可以实现损伤位置的判别。The T-joint is an important part of damage monitoring.However,it is difficult to accurately monitor T-joint′s damage with the PZT sensors array and Lamb wave based on structural health monitoring imaging methods because of its complex structures.The probability imaging algorithm independent of the signal propagation velocity,which is the base of traditional methods,is studied for engineering applications.The affected areas of each channel′s damage index(DI)are confirmed with the elliptical orbit method based on the DI of the piezoelectric excitation-sensor network.Then,the accurate monitoring of the Tjoint damage is realized through the integration and imaging of all channels′affected areas.The results are verified with the ultrasonic C-scan.The study reveals that the DI is able to monitor the T-joint of the composite material online and alert to the damage.Thus,damage locating can be implemented with the probability imaging algorithm.

关 键 词：复合材料 T型接头 结构健康监测 损伤因子 概率成像 

分 类 号：TB331[一般工业技术—材料科学与工程]