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Journal Articles IEEE Transactions on Magnetics Year : 2016

Application of PGD on parametric modeling of a piezoelectric energy harvester

Abstract

In this paper, a priori model reduction methods via low-rank tensor approximation are introduced for the parametric study of a piezoelectric energy harvester (EH). The EH, comprised of a cantilevered piezoelectric bimorph connected with electrical loads, is modeled using three dimensional finite elements (FEs). Solving the model for various excitation frequencies and electrical load using the conventional approach results in a large size problem that is costly in terms of CPU time. We propose an approach based on the proper generalized decomposition (PGD) that can effectively reduce the problem size with a good accuracy of the solutions. With the proposed approach, field variables of the coupled problem are decomposed into space, frequency and electrical load associated components. To introduce PGD into the FE model, a method to model the electrodes and electrical charges in the EH is presented. Appropriate choice for stopping criterions in the method, as well as accelerating the convergence through updating after each enrichment are investigated. The proposed method is validated through a representative numerical example.
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Dates and versions

hal-01358277 , version 1 (31-08-2016)

Identifiers

Cite

Zhi Qin, Hakeim Talleb, Shuai Yan, Xiaoyu Xu, Zhuoxiang Ren. Application of PGD on parametric modeling of a piezoelectric energy harvester. IEEE Transactions on Magnetics, 2016, 52 (11), pp.7210211. ⟨10.1109/TMAG.2016.2591001⟩. ⟨hal-01358277⟩
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