A boundary element model for structural health monitoring using piezoelectric transducers

In this paper, for the first time, the boundary element method (BEM) is used for modelling smart structures instrumented with piezoelectric actuators and sensors. The host structure and its cracks are formulated with the 3D dual boundary element method (DBEM), and the modelling of the piezoelectric...

Full description

Saved in:
Bibliographic Details
Published inSmart materials and structures Vol. 23; no. 1; pp. 1 - 15
Main Authors Zou, F, Benedetti, I, Aliabadi, M H
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.01.2014
Institute of Physics
Subjects
Boundary element method
Computer simulation
crack detection
Exact sciences and technology
Fundamental areas of phenomenology (including applications)
General equipment and techniques
Health monitoring (engineering)
Instruments, apparatus, components and techniques common to several branches of physics and astronomy
Mathematical analysis
Measurement and testing methods
Modelling
Physics
piezoelectric transducer
Piezoelectric transducers
Sensors (chemical, optical, electrical, movement, gas, etc.); remote sensing
smart structure
Solid mechanics
Structural and continuum mechanics
structural health monitoring
Three dimensional
Transducers
wave propagation
Finite element method
Cracks
Piezoelectric transducers
Piezoelectric actuators
Analytical method
Laplace transformation
Sensors
Damage
Monitoring
Boundary element method
Intelligent system
Online AccessGet full text

Cover

More Information
Summary:In this paper, for the first time, the boundary element method (BEM) is used for modelling smart structures instrumented with piezoelectric actuators and sensors. The host structure and its cracks are formulated with the 3D dual boundary element method (DBEM), and the modelling of the piezoelectric transducers implements a 3D semi-analytical finite element approach. The elastodynamic analysis of the structure is performed in the Laplace domain and the time history is obtained by inverse Laplace transform. The sensor signals obtained from BEM simulations show excellent agreement with those from finite element modelling simulations and experiments. This work provides an alternative methodology for modelling smart structures in structural health monitoring applications.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0964-1726
1361-665X
DOI:10.1088/0964-1726/23/1/015022