Electromechanical impedance modeling for structural health monitoring

Liuxian Zhao, Mattieu Gresil, Siming Guo, Lingyu Yu, Michael Sutton

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Electromechanical impedance (EMI) method is an effective and powerful technique in structural health monitoring (SHM) which couples the mechanical impedance of host structure with the electrical impedance measured at the piezoelectric wafer active sensor (PWAS) transducer terminals. Due to the electromechanical coupling in piezoelectric materials, changes in structural mechanical impedance are reflected in the electrical impedance measured at the PWAS. Therefore, the structural mechanical resonances are reflected in a virtually identical spectrum of peaks and valleys in the real part of the measured EMI. Multi-physics based finite element method (MP-FEM) has been widely used for the analysis of piezoelectric materials and structures. It uses finite elements taking both electrical and mechanical DOF's into consideration, which allows good differentiation of complicated structural geometries and damaged areas. In this paper, MP-FEM was then used to simulate PWAS EMI for the goal of SHM. EMI of free PWAS was first simulated and compared with experimental result. Then the constrained PWAS was studied. EMI of both metallic and glass fiber composite materials were simulated. The first case is the constrained PWAS on aluminum beam with various dimensions. The second case studies the sensitivity range of the EMI approach for damage detection on aluminum beam using a set of specimens with cracks at different locations. In the third case, structural damping effects were also studied in this paper. Our results have also shown that the imaginary part of the impedance and admittance can be used for sensor self-diagnosis. Copyright © 2012 by ASME.
    Original languageEnglish
    Title of host publicationASME 2012 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2012|ASME Conf. Smart Mater., Adapt. Struct. Intelligent Syst., SMASIS
    Place of PublicationStone Mountain, Georgia, USA
    Pages783-790
    Number of pages7
    Volume1
    DOIs
    Publication statusPublished - 2012
    EventASME 2012 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2012 - Stone Mountain, GA
    Duration: 1 Jul 2012 → …

    Conference

    ConferenceASME 2012 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2012
    CityStone Mountain, GA
    Period1/07/12 → …

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