Fatigue damage localization using time-domain features extracted from nonlinear Lamb waves

Ming Hong, Zhongqing Su, Ye Lu, Li Cheng

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Abstract

Nonlinear guided waves are sensitive to small-scale fatigue damage that may hardly be identified by traditional techniques. A characterization method for fatigue damage is established based on nonlinear Lamb waves in conjunction with the use of a piezoelectric sensor network. Theories on nonlinear Lamb waves for damage detection are first introduced briefly. Then, the ineffectiveness of using pure frequency-domain information of nonlinear wave signals for locating damage is discussed. With a revisit to traditional gross-damage localization techniques based on the time of flight, the idea of using temporal signal features of nonlinear Lamb waves to locate fatigue damage is introduced. This process involves a time-frequency analysis that enables the damage-induced nonlinear signal features, which are either undiscernible in the original time history or uninformative in the frequency spectrum, to be revealed. Subsequently, a finite element modeling technique is employed, accounting for various sources of nonlinearities in a fatigued medium. A piezoelectric sensor network is configured to actively generate and acquire probing Lamb waves that involve damageinduced nonlinear features. A probability-based diagnostic imaging algorithm is further proposed, presenting results in diagnostic images intuitively. The approach is experimentally verified on a fatigue-damaged aluminum plate, showing reasonably good accuracy. Compared to existing nonlinear ultrasonics-based inspection techniques, this approach uses a permanently attached sensor network that well accommodates automated online health monitoring; more significantly, it utilizes time-domain information of higher-order harmonics from time-frequency analysis, and demonstrates a great potential for quantitative characterization of small-scale damage with improved localization accuracy.
Original languageEnglish
Title of host publicationProceedings of SPIE: Health Monitoring of Structural and Biological Systems 2014
EditorsTribikram Kundu
Place of PublicationBellingham Washington DC USA
PublisherSPIE
Chapter906405
Number of pages13
Volume9064
ISBN (Print)9780819499905
DOIs
Publication statusPublished - 2014
EventSPIE Smart Structures and Materials and Non-destructive Evaluation and Health Monitoring 2014 - Town and Country Resort Hotel & Convention Center, San Diego, United States of America
Duration: 10 Mar 201413 Mar 2014
https://www.spiedigitallibrary.org/conference-proceedings-of-SPIE/9064.toc
http://www.globaleventslist.elsevier.com/events/2014/03/spie-smart-structures-nde-2014/

Conference

ConferenceSPIE Smart Structures and Materials and Non-destructive Evaluation and Health Monitoring 2014
CountryUnited States of America
CitySan Diego
Period10/03/1413/03/14
OtherPlease use the following format to cite material from this book:
Author(s), "Title of Paper," in Health Monitoring of Structural and Biological Systems 2014, edited by
Tribikram Kundu, Proceedings of SPIE Vol. 9064 (SPIE, Bellingham, WA, 2014) Article CID Number.
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