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Proceedings Paper

Multicrack growth monitoring at riveted lap joints using piezoelectric patches
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Paper Abstract

A built-in cost-effective diagnostic system is being developed to monitor fatigue crack growth in aircraft structures. The proposed system consists of a SMART Layer by Acellent Technologies with an embedded network of distributed piezoelectric sensors/actuators, a diagnostic unit, and software. Multi-riveted aluminum lap joints (936 x 462 mm) were tested for a constant amplitude fatigue test under tensile loading to monitor crack growth at rivet holes. A SMART Layer was designed as a strip and surface-mounted to the critical area of lap joints where crack initiation and growth were suspected. The SMART Layer installed between the two rivet rows was used as an actuator strip and the other layer located below the rivets was used as a sensor strip. Using the software, pre-selected diagnostic signals from a designated piezoelectric actuator to its neighboring sensors were generated by the diagnostic unit. A corresponding sensor signals were recorded and compared to a previously recorded baseline reference. The signal processing technique and interpretation algorithm were developed and implemented for extracting features related to crack growth condition at the time of measurement. The results of estimates were compared with non-destructive testing (NDT) data taken from the experiments, which were conducted during the course of the investigation. The probability of damage detection, compared to conventional NDT techniques, was evaluated.

Paper Details

Date Published: 11 June 2002
PDF: 12 pages
Proc. SPIE 4702, Smart Nondestructive Evaluation for Health Monitoring of Structural and Biological Systems, (11 June 2002); doi: 10.1117/12.469893
Show Author Affiliations
Jeong-Beom Ihn, Stanford Univ. (United States)
Fu-Kuo Chang, Stanford Univ. (United States)

Published in SPIE Proceedings Vol. 4702:
Smart Nondestructive Evaluation for Health Monitoring of Structural and Biological Systems
Tribikram Kundu, Editor(s)

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