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    Predictive Modeling of Piezoelectric Wafer Active Sensors for Structural Health Monitoring

    Lin, B.; Gresil, M.; Cuc, A.; Giurgiutiu, V.

    Ferroelectrics. 2014;:168-182.

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    Abstract

    Piezoelectric wafer active sensors (PWAS) are lightweight and inexpensive transducers made from ferroelectric piezoceramic wafers attached to safety-critical structure. PWAS transducers enable a large class of structural health monitoring (SHM) applications. The focus of this paper is on the predictive modeling of structurally-attached PWAS. After a brief introduction, the paper reviews the PWAS-based SHM principles. Then, it follows with a discussion of shear-lag analysis, the transfer matrix method approach and the investigation of power and energy transduction between PWAS and structure. Finally, the paper presents a multi-physics finite element (MP-FEM) simulation. The paper ends with summary and conclusion.

    Bibliographic metadata

    Type of resource:
    Content type:
    Publication status:
    Accepted
    Publication type:
    Publication form:
    Published date:
    Accepted date:
    2013-05-15
    Journal title:
    ISSN:
    Start page:
    168
    End page:
    182
    Total:
    14
    Pagination:
    168-182
    Digital Object Identifier:
    10.1080/00150193.2014.923251
    Attached files embargo period:
    Immediate release
    Attached files release date:
    23rd October, 2014
    Access state:
    Active

    Institutional metadata

    University researcher(s):

    Record metadata

    Manchester eScholar ID:
    uk-ac-man-scw:237709
    Created by:
    Gresil, Matthieu
    Created:
    23rd October, 2014, 10:41:33
    Last modified by:
    Gresil, Matthieu
    Last modified:
    23rd October, 2014, 10:41:33

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