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    Multi-Component Structural Health Assessment Using Guided Acoustic Waves

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    Author
    Amjad, Umar
    Issue Date
    2014
    Keywords
    Guided waves
    NDT
    SHM
    Signal Processing
    TOF
    Civil Engineering
    Dispersion curves
    Advisor
    Kundu, Tribikram
    
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    Show full item record
    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Embargo
    Release after 15-Dec-2016
    Abstract
    In this dissertation different structural materials (aluminum and steel) with different geometrical shapes (plates, pipes and bars) are studied for damage detection with guided waves. Specific guided wave modes (also known as Lamb wave modes for plate type structures) are generated in a laminated aluminum plate for damage detection and quantification using a broad band piezoelectric transducer structured with a rigid electrode. Appropriate excitation frequencies and modes for inspection are selected from theoretical and experimental dispersion curves. Sensitivity of anti-symmetric and symmetric modes for delamination detection and quantification is investigated. Longitudinal guided waves are excited and recorded after transmission through reinforcing steel bars for monitoring its corrosion level. Instead of investigating the amplitude of the transmitted guided waves, or in other words, monitoring its attenuation, the differential time-of-flight (TOF) is recorded. A reliable guided wave mode is identified for the detection and quantification of corrosion in reinforcing steel bars. Hole type damage, and bonding/de-bonding or lamination/delamination in pipes are studied with Noncontact Electro-Magnetic Acoustic Transducers and PZT transducers. An adaptive method using phase of the recorded signals for detection and quantification of damages in pipes is established using multiple feature extraction techniques (Time-Frequency representations) and differential time-of-flight cross-correlation technique.
    Type
    text
    Electronic Dissertation
    Degree Name
    Ph.D.
    Degree Level
    doctoral
    Degree Program
    Graduate College
    Civil Engineering
    Degree Grantor
    University of Arizona
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