Ultrasonic guided wave mode selection and tuning in composites using a piezoelectric phased array

H. Gao, J. L. Rose, C. J. Lissenden

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Ultrasonic guided wave based methods are attracting significant interest due to their tremendous potential for structural health monitoring (SHM). Penetration power and sensitivity improvement are the major challenges in guided wave based technologies for detection and quantification of structural damage. This paper presents a physically based understanding of ultrasonic guided wave propagation and excitation behaviors in composite structures, which can be used as an essential building block for future physically based SHM system design. A semi-analytical finite element method is used to study wave propagation characteristics and the normal mode expansion technique is used to study the wave excitation characteristics. A powerful and flexible guided wave mode tuning technique is then studied through the utilization of a synthetic phased array.

Original languageEnglish (US)
Title of host publicationStructural Health Monitoring 2007
Subtitle of host publicationQuantification, Validation, and Implementation - Proceedings of the 6th International Workshop on Structural Health Monitoring, IWSHM 2007
EditorsFu-Kuo Chang
PublisherDEStech Publications
Pages1668-1675
Number of pages8
ISBN (Electronic)9781932078718
StatePublished - Jan 1 2007
Event6th International Workshop on Structural Health Monitoring: Quantification, Validation, and Implementation, IWSHM 2007 - Stanford, United States
Duration: Sep 11 2007Sep 13 2007

Publication series

NameStructural Health Monitoring 2007: Quantification, Validation, and Implementation - Proceedings of the 6th International Workshop on Structural Health Monitoring, IWSHM 2007
Volume2

Other

Other6th International Workshop on Structural Health Monitoring: Quantification, Validation, and Implementation, IWSHM 2007
CountryUnited States
CityStanford
Period9/11/079/13/07

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Health Information Management

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