Localization of Damages in Plain And Riveted Aluminium Specimens using Lamb Waves

Yogesh S. Andhale, F. Masurkar, Nitesh P. Yelve
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引用次数: 22

Abstract

The Lamb wave-based localization of damage is presented here separately for the plain and riveted aluminium (Al) specimens. The first part of this paper deals with the experimental damage localization of the plain Al specimen using Lamb waves and four piezoelectric wafer (PW) transducers. The PW transducers mounted onto the specimen in a collocated way are used to actuate and sense Lamb waves. The responses are obtained for both the pristine and damaged states of the Al specimen. The signal processing is carried out on the residual response using the continuous wavelet transform (CWT), and time of arrival (TOA) data is obtained for each collocated actuator-sensor pair. The TOA data of the wave reflected from the damage is used in the two arrival time difference and astroid algorithms to locate the damage in an enclosed area. The genetic optimization (GO) method is used to further refine the location of damage within the enclosed area obtained using astroid algorithm. The second part of the paper deals with the localization of a faulty rivet in a riveted specimen. The responses are obtained in the cases of both healthy and faulty riveted specimens. The presence of a faulty rivet is indicated by the inflation in amplitude of the second harmonic. A new algorithm is therefore proposed by the authors to localize the faulty rivet, using the spectral content information. The results obtained through both the studies manifest the ability of the proposed methods for locating different types of defects and faulty rivets using an array of PW transducers.
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基于Lamb波的普通和铆接铝试件损伤定位
本文分别介绍了基于Lamb波的损伤定位方法,用于普通铝试件和铆接铝试件。本文第一部分研究了利用Lamb波和四个压电片(PW)换能器对普通铝试件进行损伤局部化的实验研究。安装在样品上的PW传感器被用来驱动和感知兰姆波。得到了试样在原始状态和破坏状态下的响应。利用连续小波变换(CWT)对残差响应进行信号处理,得到各配置作动器-传感器对的到达时间(TOA)数据。在两种到达时差算法和星状算法中,利用损伤反射波的TOA数据对封闭区域内的损伤进行定位。采用遗传优化(GO)方法,进一步细化星状算法得到的封闭区域内的损伤位置。论文的第二部分讨论了铆接试样中缺陷铆钉的定位问题。得到了健康和缺陷铆接试件的响应。有缺陷的铆钉的存在是由二次谐波振幅的膨胀表示的。为此,作者提出了一种利用光谱含量信息对故障铆钉进行定位的新算法。通过这两项研究获得的结果表明,所提出的方法能够利用一组PW传感器定位不同类型的缺陷和故障铆钉。
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