Quantifying orientation-specific damage using diagnostic imaging

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

Abstract

Different from damage of relatively smooth edges such as through-holes and delamination, the orientation-specific damage (e.g., crack or notch) often exerts strong directionality, and the scattered elastic waves may not be captured efficiently by sensors at certain locations. This situation poses a challenging issue to elastic-wave-based damage identification techniques. In this study, influence of orientation of damage with sizable length in a particular dimension on Lamb wave propagation was scrutinised, in conjunction with an active sensor network. Based on the established correlation between damage parameters (location, shape, orientation and severity) and extracted signal features including both the time-of-flight (ToF) and signal intensity, a probability-based diagnostic imaging approach was developed. With the approach, orientation-specific damage can visually be highlighted in a probability image. Effectiveness of the approach was experimentally demonstrated by predicting a through-thickness crack and L-shape crack in an aluminium plate.
Original languageEnglish
Title of host publicationStructural Health Monitoring 2009
Subtitle of host publicationFrom System Integration to Autonomous Systems - Proceedings of the 7th International Workshop on Structural Health Monitoring, IWSHM 2009
PublisherDEStech Publications
Pages1240-1247
Number of pages8
Volume2
ISBN (Electronic)9781605950075
Publication statusPublished - 1 Jan 2009
Event7th International Workshop on Structural Health Monitoring: From System Integration to Autonomous Systems, IWSHM 2009 - Stanford University, Stanford, United States
Duration: 9 Sep 200911 Sep 2009

Conference

Conference7th International Workshop on Structural Health Monitoring: From System Integration to Autonomous Systems, IWSHM 2009
Country/TerritoryUnited States
CityStanford
Period9/09/0911/09/09

ASJC Scopus subject areas

  • Health Information Management
  • Computer Science Applications

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