Damage quantification using attenuation based signal processing for health monitoring in carbon fiber composites

Whitney Reynolds, Aditi Chattopadhyay

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

3 Scopus citations

Abstract

Carbon-fiber composites will increasingly be used in next generation air transportation vehicles. Therefore, it is critical to develop state awareness models that can accurately capture the damage states and predict remaining useful life based on current and future loading conditions. In the current research, a structural health monitoring (SHM) and prognosis framework is being developed for heterogeneous material systems. The objective of this paper is to present some of the experimental components of this work. In the experiments preformed, the use of a pitch catch method using piezoelectric transducers for both the actuator and sensor were employed for collecting information on the damage status. The focus of this work is to quantify damage within the sample by relating parameters in the sensor signal to damage intensity. Good correlation has been observed in several tests between damage level and wave attenuation. These results are confirmed using off-the-shelf NDE techniques.

Original languageEnglish (US)
Title of host publicationHealth Monitoring of Structural and Biological Systems 2008
DOIs
StatePublished - 2008
EventHealth Monitoring of Structural and Biological Systems 2008 - San Diego, CA, United States
Duration: Mar 10 2008Mar 13 2008

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6935
ISSN (Print)0277-786X

Other

OtherHealth Monitoring of Structural and Biological Systems 2008
Country/TerritoryUnited States
CitySan Diego, CA
Period3/10/083/13/08

Keywords

  • Attenuation
  • Damage detection
  • Damage parameter
  • Piezoelectric
  • Structural health monitoring

ASJC Scopus subject areas

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

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