Fatigue damage localization using time-domain features extracted from nonlinear lamb waves

Ming Hong, Zhongqing Su, Ye Lu, Li Cheng

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Nonlinear guided waves are sensitive to small-scale fatigue damage that may hardly be identified by traditional techniques. A characterization method for fatigue damage is established based on nonlinear Lamb waves in conjunction with the use of a piezoelectric sensor network. Theories on nonlinear Lamb waves for damage detection are first introduced briefly. Then, the ineffectiveness of using pure frequency-domain information of nonlinear wave signals for locating damage is discussed. With a revisit to traditional gross-damage localization techniques based on the time of flight, the idea of using temporal signal features of nonlinear Lamb waves to locate fatigue damage is introduced. This process involves a time-frequency analysis that enables the damage-induced nonlinear signal features, which are either undiscernible in the original time history or uninformative in the frequency spectrum, to be revealed. Subsequently, a finite element modeling technique is employed, accounting for various sources of nonlinearities in a fatigued medium. A piezoelectric sensor network is configured to actively generate and acquire probing Lamb waves that involve damageinduced nonlinear features. A probability-based diagnostic imaging algorithm is further proposed, presenting results in diagnostic images intuitively. The approach is experimentally verified on a fatigue-damaged aluminum plate, showing reasonably good accuracy. Compared to existing nonlinear ultrasonics-based inspection techniques, this approach uses a permanently attached sensor network that well accommodates automated online health monitoring; more significantly, it utilizes time-domain information of higher-order harmonics from time-frequency analysis, and demonstrates a great potential for quantitative characterization of small-scale damage with improved localization accuracy.
Original languageEnglish
Title of host publicationHealth Monitoring of Structural and Biological Systems 2014
PublisherSPIE
Volume9064
ISBN (Print)9780819499905
DOIs
Publication statusPublished - 1 Jan 2014
EventHealth Monitoring of Structural and Biological Systems 2014 - San Diego, CA, United States
Duration: 10 Mar 201413 Mar 2014

Conference

ConferenceHealth Monitoring of Structural and Biological Systems 2014
Country/TerritoryUnited States
CitySan Diego, CA
Period10/03/1413/03/14

Keywords

  • Fatigue damage
  • Lamb waves
  • Nonlinear ultrasonics
  • Piezoelectric sensor network
  • Structural health monitoring
  • Time of flight

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

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