Multi-type damage localization using the scattering coefficient-based RAPID algorithm with damage indexes separation and imaging fusion

Abstract

Guided waves-based structural health monitoring (SHM) methods have potential for practical applications, since they are sensitive to small damages and are able to realize large area monitoring. Among these methods, the Reconstruction Algorithm for Probabilistic Inspection (RAPID), using a Piezoelectric transducer (PZT) sensor array, is one of the most widely used imaging algorithms to perform active damage monitoring and localization. However, since the sensing paths are distributed inside the sensor array with the non-uniform density, the RAPID algorithm can only localize damage when it is occurring inside of the array. If the damage occurs outside of the array or both inside and outside of the array, that is, multi-type damage, the performance of RAPID algorithm would not be satisfactory. In this paper, a scattering coefficient-based RAPID algorithm with damage indexes separation and imaging fusion is proposed. The amplitude of damage scattered signal at the corresponding time of fight is adopted as the weight in the probability distribution function, and damage indexes are then classified into two categories in the RAPID algorithm for the inside and outside damage localization respectively. Finally, an experiment on the complex composite plate, with the center large hole and surrounding bolt holes, is carried out to verify this proposed method. Experimental results show that this method can realize multi-type damage localization with errors less than 40 mm.

Deep LSTM-based autoencoder for CFRP damage imaging using Lamb wave and correlation factor weighted delay-and-sum algorithm

“…In recent years, various novel damage imaging methods have been developed to visualize damage and quickly locate anomalies. Noteworthy among these imaging 2 methods are the elliptical imaging algorithm [6], the time reversal (TR) algorithm [7], the reconstruction algorithm for probabilistic inspection (RAPID) algorithm [2,8], the multiple signal classification (MUSIC) algorithm [9] and the delay-and-sum (DAS) algorithm [10]. Each of these imaging methods was designed for distinct applications.…”