Predictive Modeling of Piezoelectric Wafer Active Sensors for Structural Health Monitoring
Physics, Mechanical, Electrical, Engineering
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.
Postprint version. Published in Ferroelectrics, Volume 470, Issue 1, 2014, pages 168-182.
© 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