Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/40803
Title: Monitoring of surface-fatigue crack propagation in a welded steel angle structure using guided waves and principal component analysis
Authors: Lu, MY
Qu, YW
Lu, Y
Ye, L
Zhou, LM 
Su, ZQ 
Keywords: Principal component analysis
Waveguides
Actuators
Ferroelectric materials
Sensor networks
Sensors
Transducers
Issue Date: 2012
Publisher: SPIE-International Society for Optical Engineering
Source: Proceedings of SPIE : the International Society for Optical Engineering, 2012, v. 8409, 84090N How to cite?
Journal: Proceedings of SPIE : the International Society for Optical Engineering 
Abstract: An experimental study is reported in this paper demonstrating monitoring of surface-fatigue crack propagation in a welded steel angle structure using Lamb waves generated by an active piezoceramic transducer (PZT) network which was freely surface-mounted for each PZT transducer to serve as either actuator or sensor. The fatigue crack was initiated and propagated in welding zone of a steel angle structure by three-point bending fatigue tests. Instead of directly comparing changes between a series of specific signal segments such as S0 and A0 wave modes scattered from fatigue crack tips, a variety of signal statistical parameters representing five different structural status obtained from marginal spectrum in Hilbert-huang transform (HHT), indicating energy progressive distribution along time period in the frequency domain including all wave modes of one wave signal were employed to classify and distinguish different structural conditions due to fatigue crack initiation and propagation with the combination of using principal component analysis (PCA). Results show that PCA based on marginal spectrum is effective and sensitive for monitoring the growth of fatigue crack although the received signals are extremely complicated due to wave scattered from weld, multi-boundaries, notch and fatigue crack. More importantly, this method indicates good potential for identification of integrity status of complicated structures which cause uncertain wave patterns and ambiguous sensor network arrangement.
Description: Third International Conference on Smart Materials and Nanotechnology in Engineering, Shenzhen, China, 5-8 December 2012
URI: http://hdl.handle.net/10397/40803
ISSN: 0277-786X
EISSN: 1996-756X
DOI: 10.1117/12.924070
Appears in Collections:Conference Paper

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