Autonomous sensing of composites with carbon nanotubes for structural health monitoring

Yingtao Liu, Masoud Yekani Fard, Abhishek Rajadas, Aditi Chattopadhyay

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

2 Scopus citations

Abstract

engineering structures. This study investigates the application of multi walled carbon nanotubes in polymer matrix composites for autonomous damage detection through changes in electrical resistance. The autonomous sensing capabilities of fiber reinforced nanocomposites are studied under multiple loading conditions including tension loads. Single-lap joints with different joint lengths are tested. Acoustic emission sensing is used to validate the matrix crack propagation. A digital image correlation system is used to measure the shear strain field of the joint area. The joints with 1.5 inch length have better autonomous sensing capabilities than those with 0.5 inch length. The autonomous sensing capabilities of nanocomposites are found to be sensitive to crack propagation and can revolutionize the research on composite structural health management in the near future.

Original languageEnglish (US)
Title of host publicationBehavior and Mechanics of Multifunctional Materials and Composites 2012
DOIs
StatePublished - 2012
EventBehavior and Mechanics of Multifunctional Materials and Composites 2012 - San Diego, CA, United States
Duration: Mar 12 2012Mar 15 2012

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8342
ISSN (Print)0277-786X

Other

OtherBehavior and Mechanics of Multifunctional Materials and Composites 2012
Country/TerritoryUnited States
CitySan Diego, CA
Period3/12/123/15/12

Keywords

  • Acoustic emission
  • Autonomous sensing
  • Carbon fiber reinforced composites
  • Carbon nanotubes
  • Electrical resistance
  • 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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