Zhan Kang
Professor Supervisor of Doctorate Candidates Supervisor of Master's Candidates
Main positions:Deputy Dean, Faculty of Vehicle Engineering and Mechanics
Other Post:Deputy Dean, Faculty of Vehicle Engineering and Mechanics
Gender:Male
Alma Mater:Stuttgart University, Germany
Degree:Doctoral Degree
School/Department:Department of Engineering Mechanics/ State Key Laboratory of Structural Analysis for Industrial Equimpment
Discipline:Engineering Mechanics. Computational Mechanics. Aerospace Mechanics and Engineering. Solid Mechanics
Business Address:https://orcid.org/0000-0001-6652-7831
http://www.ideasdut.com
https://scholar.google.com/citations?user=PwlauJAAAAAJ&hl=zh-CN&oi=ao
https://www.researchgate.net/profile/Zhan_Kang
Contact Information:zhankang#dlut.edu.cn 13190104312
E-Mail:zhankang@dlut.edu.cn
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Indexed by:期刊论文
Date of Publication:2011-12-01
Journal:JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES
Included Journals:Scopus、SCIE、EI
Volume:22
Issue:18
Page Number:2161-2172
ISSN No.:1045-389X
Key Words:optimal design; topology optimization; SIMP; piezoelectric; actuator; repetitive structure
Abstract:This article presents a study on topology optimization of planar piezoelectric actuators assembled with repetitive component patterns. Repetitive configuration has the advantage of ease of engineering implementation, especially for relatively slender structures. For realizing this concept in the design of piezoelectric actuators, topology optimization techniques are employed for seeking the optimal layout within the design domain of the structural components. The design objective is to maximize the work delivered by the displacement output port, while constraints are imposed on the actuation energy consumption and the material volume. Both the distributions of the actuation voltage and the topologies of the host layer and the piezoelectric layers are optimized. Power-law penalization functions are used to suppress intermediate values of material densities and actuation voltage. Numerical techniques for a sensitivity analysis of structural response are presented, and the proposed optimization problem is solved with a gradient-based mathematical programming approach. Two numerical examples are given to demonstrate the applicability of the proposed approach. Compared with the method directly treating the whole design domain, this approach is shown to have a better convergence behavior and is able to provide final topologies that are better acceptable from engineering point of view.
Dr. Zhan Kang is a Changjiang Scholar Chair Professor of Dalian University of Technology. He graduated from Shanghai Jiaotong University in 1992, received his MEng in mechanics from Dalian University of Technology in 1995 and his Dr. –Ing. degree from Stuttgart University, Germany in 2005. His current research involves issues such as topology optimization, structural optimization under uncertainties, design optimization of smart structures and nanomechanics. Dr. Kang has published over 100 research papers in peer-reviewed international journals and one monograph. He has received 5500 citations and has an H-index of 39 (Google Scholar). Dr. Kang has been granted the Outstanding Youth Fund of Natural Science Foundation of China (NSFC). He has been principal investigator of 8 NSFC projects and a Key Project of Chinese National Programs for Fundamental Research and Development (973 Project). He has also conducted many consultancy projects.
Google Scholar Page: https://scholar.google.com/citations?user=PwlauJAAAAAJ&hl=zh-CN&oi=ao
https://orcid.org/0000-0001-6652-7831
http://www.ideasdut.com