Temporal information of linear and nonlinear Lamb waves for fatigue damage localization: Analysis and synthesis

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

The time of flight (TOF) features of Lamb waves have been widely applied to locate gross damage in plate structures, which may greatly facilitate the localization process when a sparse sensor network is adopted. Through a time-frequency analysis, this study extends the usage of TOF to nonlinear Lamb waves, taking advantage of their higher sensitivity to small-scale fatigue damage. The precision and practicality of using temporal signal features of linear and nonlinear Lamb waves for fatigue damage characterization are compared. Case studies are conducted on aluminum plates through numerical simulation and experiments, where miniature piezoelectric wafers are networked into a sparse array for Lamb wave excitation and acquisition. A probabilitybased imaging algorithm is then proposed to visualize damage. Finally, the comparison has motivated a synthesized scheme for locating fatigue damage in various conditions, enhancing the adaptivity of structural health monitoring for real-world applications.
Original languageEnglish
Title of host publication7th European Workshop on Structural Health Monitoring, EWSHM 2014 - 2nd European Conference of the Prognostics and Health Management (PHM) Society
PublisherINRIA
Pages732-739
Number of pages8
Publication statusPublished - 1 Jan 2014
Event7th European Workshop on Structural Health Monitoring, EWSHM 2014 - Nantes, France
Duration: 8 Jul 201411 Jul 2014

Conference

Conference7th European Workshop on Structural Health Monitoring, EWSHM 2014
CountryFrance
CityNantes
Period8/07/1411/07/14

Keywords

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

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Safety, Risk, Reliability and Quality
  • Building and Construction
  • Computer Science Applications

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