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:Journal Papers
First Author:Wang, Xuan
Correspondence Author:Hu, P (reprint author), Dalian Univ Technol, State Key Lab Struct Anal Ind Equipment, Dalian 116023, Peoples R China.
Co-author:Hu, Ping,Kang, Zhan
Date of Publication:2020-02-01
Journal:STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
Included Journals:EI、SCIE
Volume:61
Issue:2
Page Number:555-573
ISSN No.:1615-147X
Key Words:Layout optimization; Embedded components; Embedded holes; SIMP
Abstract:In this paper, the layout optimization problem of continuum structures embedded with movable components and holes simultaneously is solved for the first time. We propose a new methodology for the embedding problem under SIMP-based computational framework, where the positions and orientations of embedded components and holes and the topology of connecting structure are optimized concurrently to maximize the overall stiffness. To this end, the parameterized topology description function, combining the Kreisselmeier-Steinhauser (KS) function, is used to construct the geometric shapes of embedded components and holes. The material density defining the topology of connecting structure and the geometric parameters used to describe the location and orientation of embedded components and holes are considered as design variables of the optimization problem. To unite these two seemingly different representations into a single computational framework, we first project the embedded components and holes into two density fields on a fixed grid using a smoothed Heaviside function, then introduce a new SIMP-motivated material interpolation scheme invoked at the finite element level for material parameterization. The material parameterization scheme supports full analytical sensitivities, which can greatly improve the accuracy and efficiency of sensitivity analysis, and make it suitable for use with efficient gradient-based algorithms. Finally, the effectiveness of the proposed method is illustrated by several numerical examples.
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
