Acoustic emission and guided wave monitoring of fatigue crack growth on a full pipe specimen

R. M. Meyer, S. Cumblidge, P. Ramuhalli, B. Watson, S. R. Doctor, L. J. Bond

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Continuous on-line monitoring of active and passive systems, structures and components in nuclear power plants will be critical to extending the lifetimes of nuclear power plants in the US beyond 60 years. Acoustic emission and guided ultrasonic waves are two tools for continuously monitoring passive systems, structures and components within nuclear power plants and are the focus of this study. These tools are used to monitor fatigue damage induced in a SA 312 TP304 stainless steel pipe specimen. The results of acoustic emission monitoring indicate that crack propagation signals were not directly detected. However, acoustic emission monitoring revealed crack formation prior to visual confirmation through the detection of signals caused by crack closure friction. The results of guided ultrasonic wave monitoring indicate that this technology is sensitive to the presence and size of cracks. The sensitivity and complexity of guided ultrasonic wave (GUW) signals is observed to vary with respect to signal frequency and path traveled by the GUW relative to the crack orientation.

Original languageEnglish
Title of host publicationHealth Monitoring of Structural and Biological Systems 2011
DOIs
StatePublished - 2011
Externally publishedYes
EventHealth Monitoring of Structural and Biological Systems 2011 - San Diego, CA, United States
Duration: Mar 7 2011Mar 10 2011

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7984
ISSN (Print)0277-786X

Conference

ConferenceHealth Monitoring of Structural and Biological Systems 2011
Country/TerritoryUnited States
CitySan Diego, CA
Period03/7/1103/10/11

Keywords

  • Acoustic emission
  • guided ultrasonic waves
  • nuclear power plants
  • on-line monitoring

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