Xiaopeng Zhang
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Topology optimization of piezoelectric smart structures for minimum energy consumption under active control
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Indexed by:期刊论文

Date of Publication:2018-07-01

Journal:STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Included Journals:SCIE

Volume:58

Issue:1

Page Number:185-199

ISSN No.:1615-147X

Key Words:Topology optimization; Piezoelectric structure; Energy consumption; Active control; Electrode

Abstract:This paper investigates topology optimization of the electrode coverage over piezoelectric patches attached to a thin-shell structure to reduce the energy consumption of active vibration control under harmonic excitations. The constant gain velocity feedback control method is employed, and the structural frequency response under control is analyzed with the finite element method. In the mathematical formulation of the proposed topology optimization model, the total energy consumption of the control system is taken as the objective function, and a constraint of the maximum allowable dynamic compliance is considered. The pseudo-densities indicating the distribution of surface electrode coverage over the piezoelectric layers are chosen as the design variables, and a penalized model is employed to relate the active damping effect and these design variables. The sensitivity analysis scheme of the control energy consumption with respect to the design variables is derived with the adjoint-variable method. Numerical examples demonstrate that the proposed optimization model is able to generate optimal topologies of electrode coverage over the piezoelectric layers, which can effectively reduce the energy consumption of the control system. Also, numerical comparisons with a minimum-volume optimization model show the advantage of the proposed method with respect to energy consumption. The proposed method may provide useful guidance to the layout optimization of piezoelectric smart structures where the energy supply is limited, such as miniature vibration control systems.

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Associate Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates

Gender:Male

Alma Mater:Dalian University of Technology

Degree:Doctoral Degree

School/Department:Department of Engineering Mechanics

Discipline:Engineering Mechanics. Computational Mechanics

Business Address:Room 506,Comprehensive Experimental Building#1, DUT

Contact Information:Email: zhangxaiopeng@dlut.edu.cn

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