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Civil-Comp Conferences
ISSN 2753-3239 CCC: 2
PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON ENGINEERING COMPUTATIONAL TECHNOLOGY Edited by: B.H.V. Topping and P. Iványi
Paper 5.10
Energy harvesting and sensitivity analysis of vibrating piezoelectric composite beam W. Larbi1, R. Aloui2 and M. Chouchane2
1Conservatoire National des Arts et MĂ©tiers (CNAM), France W. Larbi, R. Aloui, M. Chouchane, "Energy harvesting and sensitivity analysis of
vibrating piezoelectric composite beam", in B.H.V. Topping, P. Iványi, (Editors), "Proceedings of the Eleventh International Conference on Engineering Computational Technology", Civil-Comp Press, Edinburgh, UK,
Online volume: CCC 2, Paper 5.10, 2022, doi:10.4203/ccc.2.5.10
Keywords: global sensitivity analysis, elementary effects, piezoelectric energy
harvesting, finite element method.
Abstract
References
Vibration energy harvesting using the direct effect of piezoelectricity has attracted
increasing attention during the last two decades. Different modeling techniques have
been applied to describe the electromechanical coupling effect of a piezoelectric
harvester and to predict its electrical output. This study aims to identify the most
important properties of both harvester substrate material and piezoelectric material
that cause uncertainty in the predicted performances of the harvester. Global
sensitivity analysis, applied in this paper, is a promising method used to identify
systems parameters which have significant impact on the system output. In this paper,
the Elementary Effects method (EEs), a particular implementation of the global
sensitivity method, is used to identify the impact of substrate and piezoelectric
material properties on the voltage frequency response function of a typical bimorph
piezoelectric energy harvester with fixed geometry. With a small number of model
evaluations at selected ranges of material properties, it has been found that the elastic
modulus and density of the piezoelectric layer are the parameters which lead to the
largest output variability. Furthermore, it has been found that the order of importance
of the parameters can change from short-circuit to open-circuit conditions.
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