[en] An electromechanical model for beam-like piezoelectric energy harvesters based on Reissner’s beam theory is developed in this paper. The proposed model captures first-order shear deformation and large displacement/rotation, which distinguishes this model from other models reported in the literature. All governing equations are presented in detail, making the associated framework extensible to investigate various piezoelectric energy harvesters. The weak formulation is then derived to obtain the approximate solution to the governing equations by the finite element method. This solution scheme is completely coupled, and thus allows for two-way interaction between mechanical and electrical fields. To validate this model, extensive numerical examples are implemented in the linear and nonlinear regime. In the linear limit, this model produces results in excellent agreement with reference data. In the nonlinear regime, the large amplitude response of the piezoelectric beam induced by strong base excitation or fluid flow is considered, and the comparison of results with literature data is encouraging. The ability of this nonlinear model to predict limit cycle oscillations in axial flow is demonstrated.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
SHANG, Lan ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)
Hoareau, Christophe; Conservatoire national des arts et métiers (Cnam) > Laboratoire de Mécanique des Structures et des Systèmes Couplés (LMSSC)
ZILIAN, Andreas ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)
External co-authors :
yes
Language :
English
Title :
A geometrically nonlinear shear deformable beam model for piezoelectric energy harvesters
Publication date :
2021
Journal title :
Acta Mechanica
ISSN :
0001-5970
eISSN :
1619-6937
Publisher :
Springer, Vienna, Germany
Volume :
232
Issue :
12
Pages :
4847-4866
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Computational Sciences
FnR Project :
FNR12252781 - Data-driven Computational Modelling And Applications, 2017 (01/09/2018-28/02/2025) - Andreas Zilian
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