Flexible ultrasonic guided wave sensor development for structural health monitoring

Huidong Gao, Manton J. Guers, Joseph L. Rose

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

6 Scopus citations

Abstract

Sensor development and signal processing are two key issues in structural health monitoring (SHM). A process of PVDF annular array sensor design via guided ultrasonic wave propagation, excitation, and wave damage interaction modeling is presented in this paper. A sample problem to monitor the occurrence and progression of simulated corrosion damage in an aluminum plate is studied. An effective guided wave mode for easy corrosion depth assessment was selected based on guided wave propagation analysis. Three dimensional finite element method (FEM) analyses were performed to study the wave field excited from PVDF annular arrays and sectioned annular arrays in the aluminum plate. Annular arrays with enhanced mode selection capabilities were permanently bonded to a 1mm aluminum plate. Simulated corrosion damage with progressive corrosion depths was successfully detected in the structure using wave mode based signal analysis and feature extraction. The relation between the damage depth and the reflection wave amplitude from the signal were studied with both numerical simulation and experiments.

Original languageEnglish (US)
Title of host publicationNondestructive Evaluation and Health Monitoring of Aerospace Materials, Composites, and Civil Infrastructure V
DOIs
StatePublished - 2006
EventNondestructive Evaluation and Health Monitoring of Aerospace Materials, Composites, and Civil Infrastructure V - San Diego, CA, United States
Duration: Feb 28 2006Mar 2 2006

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6176
ISSN (Print)0277-786X

Other

OtherNondestructive Evaluation and Health Monitoring of Aerospace Materials, Composites, and Civil Infrastructure V
Country/TerritoryUnited States
CitySan Diego, CA
Period2/28/063/2/06

All Science Journal Classification (ASJC) codes

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

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