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Proceedings Paper

Structural damage assessment of propulsion system components by impedance based health monitoring
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Paper Abstract

Critical components of propulsion systems frequently operate at high stress levels for long periods of time. The integrity of these parts must be proven by non-destructive evaluation (NDE) during various manufacturing steps and also during systematic overhaul inspections. Conventional NDE methods, however, have unacceptable limits. Some of these techniques are time-consuming and inconvenient for service aircraft testing. Impedance-based structural-health-monitoring (SHM) uses piezoelectric (PZT) patches that are bonded onto or embedded in a structure; each individual patch both actuates the surrounding structural area and senses the resulting structural response. The size of the excited area varies with the geometry and material composition of the structure. A series of experiments on simple geometry specimens (thin-gage aluminum square plates) was conducted for assessing the potential of E/M impedance method for structural damage detection. Based on the results of this preliminary study, further testing was conducted on a subscale disk specimen. Based on the results it can be concluded that the E/M impedance method has the potential to be used for damage detection of structures. The experimental method, signal processing, and damage detection algorithm should be tuned to the specific method used for structural interrogation.

Paper Details

Date Published: 9 May 2005
PDF: 9 pages
Proc. SPIE 5770, Advanced Sensor Technologies for Nondestructive Evaluation and Structural Health Monitoring, (9 May 2005); doi: 10.1117/12.602110
Show Author Affiliations
Richard E. Martin, Cleveland State Univ. (United States)
Andrew L. Gyekneyesi, OAI/NASA Glenn Research Ctr. (United States)
Jerzy T. Sawicki, Cleveland State Univ. (United States)
George Y. Baaklini, NASA Glenn Research Ctr. (United States)


Published in SPIE Proceedings Vol. 5770:
Advanced Sensor Technologies for Nondestructive Evaluation and Structural Health Monitoring
Norbert Meyendorf; George Y. Baaklini; Bernd Michel, Editor(s)

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