Predictive Modeling of Piezoelectric Wafer Active Sensors for Structural Health Monitoring

Author(s)

Bin Lin
Matthieu Gresil
Adrian Cuc
Victor Giurgiutiu, University of South Carolina - ColumbiaFollow

Document Type

Article

Subject Area(s)

Physics, Mechanical, Electrical, Engineering

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.

Publication Info

Postprint version. Published in Ferroelectrics, Volume 470, Issue 1, 2014, pages 168-182.

Rights

© Ferroelectrics, 2014, Taylor & Francis Publishing

Lin, B., Gresil, M., Cuc, A., Giurgiutiu, V. (2014). Predictive Modeling of Piezoelectric Wafer Active Sensors for Structural Health Monitoring, Ferroelectrics, 470(1), 168-182

http://dx.doi.org/10.1080/00150193.2014.923251