An Enhanced Time-Reversal Imaging Algorithm-Driven Sparse Linear Array for Progressive and Quantitative Monitoring of Cracks

Qiang Wang, Yanfeng Xu, Zhongqing Su, Maosen Cao, Dong Yue

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

A Lamb wave and linear piezoelectric lead zirconate titanate (PZT) array-based monitoring method for the detection and quantification of crack damage is presented in this paper. Because existing PZT array arrangements are not suitable for quantitative monitoring of crack damage both in orientation and in length, a sparse linear PZT array is introduced and applied to collect crack reflections. Based on this new array, a method for estimating crack orientation is proposed. An amplitude spectrum as a function of angle is mapped using time delayed and summed signals. By finding the peaks in the spectra, the central actuator element and corresponding orientation angle are determined. Furthermore, the time of flight imaging method is modified to display and evaluate cracks quantitatively. Validating experiments are conducted on a T6061 aluminum plate, monitoring and evaluating single and connected cracks with various orientations in different locations. As suggested by the experiments, the orientation of most cracks can be well recognized and all cracks can be quantitatively displayed by the proposed methods.

Original languageEnglish
Article number8540016
Pages (from-to)3433-3445
Number of pages13
JournalIEEE Transactions on Instrumentation and Measurement
Volume68
Issue number10
DOIs
Publication statusPublished - Oct 2019

Keywords

  • Crack detection
  • monitoring
  • sensor arrays
  • signal processing
  • waveguide theory

ASJC Scopus subject areas

  • Instrumentation
  • Electrical and Electronic Engineering

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