Damage Detection of Laminated CFRP Structures using Electric Pulse Wave Transmission

Abstract

For laminated CFRP structures, it is quite difficult to detect internal damage such as delamination, matrix cracks, and local fiber breakages. Carbon fibers are adopted as reinforcement in CFRP and it is an excellent electric conductor at the same time. The carbon fiber has been used as a strain sensor for decades. Electrical resistance change measurement has advantages over other methods of NDE. The electrical resistance change method, however, requires a lot of electrodes on the target CFRP structures to measure electrical resistance change at multiple segments of the CFRP structure. The present approach adopts a pulse electric wave that transmits in a CFRP plate structure. When fiber damages occur, the pulse wave is reflected by the damage. By the reflected pulse wave, we can detect the damages in the CFRP structures. A parallel plate cathode and a directional coupler were used here. The proposed new method was adopted for the unidirectional CFRP in the present study. Several modifications to obtain high performance of the reflected pulse wave were performed here. As a result, the method was experimentally proved to be effective for detections of carbon fiber damages.

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Document Details

Document Type
Technical Report
Publication Date
May 05, 2010
Accession Number
ADA527050

Entities

People

  • Akira Todoroki

Organizations

  • Tokyo Institute of Technology

Tags

Communities of Interest

  • Advanced Electronics
  • Biomedical
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Carbon Fiber Reinforced Polymer
  • Carbon Fibers
  • Composite Materials
  • Computer Networks
  • Correlation Analysis
  • Cross Correlation
  • Damage Detection
  • Delamination
  • Detection
  • Electrical Resistance
  • Fiber Reinforced Polymers
  • Fibers
  • Impedance
  • Laminates
  • Measurement
  • Resistance
  • Voltage

Readers

  • Combustion Dynamics and Shock Wave Physics.
  • Electrical Engineering
  • Structural Health Monitoring of Composite Structures.