Ultrasonic guided wave imaging techniques in structural health monitoring

Fei Yan, Joseph Lawrence Rose, Roger L. Royer

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

Abstract

Ultrasonic guided waves, due to theirs capability of interrogating a large structure from a single sensor position, has been proven as a promising tool for structural health monitoring (SHM). In this paper, we present two imaging approaches of utilizing guided wave leave-in-place sensors for early detection of defects in plate-like structures as well as for monitoring the defect growth. The first approach is based on a guided wave tomographic technique, in which the region surrounded by a sparse sensor array is monitored. The second one is a phased array approach, in which sensors are attached to a structure in a compact format to form an array. The region subjected to inspection and monitoring is the region outside the array. Both techniques have shown excellent capability of determining damage size, location, and severity.

Original languageEnglish (US)
Title of host publicationProceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008
Pages247-253
Number of pages7
DOIs
StatePublished - Dec 1 2008
EventASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008 - Ellicott City, MD, United States
Duration: Oct 28 2008Oct 30 2008

Publication series

NameProceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008
Volume2

Other

OtherASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008
CountryUnited States
CityEllicott City, MD
Period10/28/0810/30/08

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Control and Systems Engineering
  • Mechanics of Materials
  • Building and Construction

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  • Cite this

    Yan, F., Rose, J. L., & Royer, R. L. (2008). Ultrasonic guided wave imaging techniques in structural health monitoring. In Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008 (pp. 247-253). (Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008; Vol. 2). https://doi.org/10.1115/SMASIS2008-592