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Detection and monitoring of hidden fatigue crack growth using a built-in piezoelectric sensor/actuator network: I. Diagnostics

Detection and monitoring of hidden fatigue crack growth using a built-in piezoelectric... A piezoelectric based built-in diagnostic technique has been developed for monitoringfatigue crack growth in metallic structures. The technique uses diagnostic signals,generated from nearby piezoelectric actuators built into the structures, to detectcrack growth. It consists of three major components: diagnostic signal generation,signal processing and damage interpretation. In diagnostic signal generation,appropriate ultrasonic guided Lamb waves were selected for actuators to maximizereceiving sensor measurements. In signal processing, methods were developed toselect an individual mode for damage detection and maximize signal to noise ratioin recorded sensor signals. Finally, in damage interpretation, a physics baseddamage index was developed relating sensor measurements to crack growth size.Fatigue tests were performed on laboratory coupons with a notch to verify theproposed technique. The damage index measured from built-in piezoceramics on thecoupons showed a good correlation with the actual fatigue crack growth obtainedfrom visual inspection. Furthermore, parametric studies were also performed tocharacterize the sensitivity of sensor/actuator location for the proposed technique. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Smart Materials and Structures IOP Publishing

Detection and monitoring of hidden fatigue crack growth using a built-in piezoelectric sensor/actuator network: I. Diagnostics

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References (19)

Copyright
Copyright IOP Publishing Ltd
ISSN
0964-1726
eISSN
1361-665X
DOI
10.1088/0964-1726/13/3/020
Publisher site
See Article on Publisher Site

Abstract

A piezoelectric based built-in diagnostic technique has been developed for monitoringfatigue crack growth in metallic structures. The technique uses diagnostic signals,generated from nearby piezoelectric actuators built into the structures, to detectcrack growth. It consists of three major components: diagnostic signal generation,signal processing and damage interpretation. In diagnostic signal generation,appropriate ultrasonic guided Lamb waves were selected for actuators to maximizereceiving sensor measurements. In signal processing, methods were developed toselect an individual mode for damage detection and maximize signal to noise ratioin recorded sensor signals. Finally, in damage interpretation, a physics baseddamage index was developed relating sensor measurements to crack growth size.Fatigue tests were performed on laboratory coupons with a notch to verify theproposed technique. The damage index measured from built-in piezoceramics on thecoupons showed a good correlation with the actual fatigue crack growth obtainedfrom visual inspection. Furthermore, parametric studies were also performed tocharacterize the sensitivity of sensor/actuator location for the proposed technique.

Journal

Smart Materials and StructuresIOP Publishing

Published: Jun 1, 2004

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