Predictive Modeling of Piezoelectric Wafer Active Sensors for Structural Health Monitoring

Autor:	Bin Lin, Victor Giurgiutiu, Adrian Cuc, Matthieu Gresil
Rok vydání:	2014
Předmět:	Large class Transducer Materials science Electronic engineering Wafer Structural health monitoring Condensed Matter Physics Piezoelectricity Electrical impedance Finite element method Electronic Optical and Magnetic Materials
Zdroj:	Ferroelectrics. 470:168-182
ISSN:	1563-5112 0015-0193
DOI:	10.1080/00150193.2014.923251
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4a24323d42bb75dbadd8810223d3351d https://doi.org/10.1080/00150193.2014.923251 Zobrazit plný text záznamu