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:2012-09-01
Journal:AIAA JOURNAL
Included Journals:SCIE、EI、Scopus
Volume:50
Issue:9
Page Number:1993-2003
ISSN No.:0001-1452
Abstract:Based on the multi-ellipsoid convex model and the quantified measure of the nonprobabilistic reliability, topology optimization of two-material structures in the presence of parameter uncertainties is investigated. The task of the optimal design problem is to distribute a given amount of two candidate materials into the design domain for acquiring the maximal stiffness while satisfying the reliability requirement. The extended power-law interpolation scheme for material properties is employed for relaxing the two-material topological design problem into a continuous-valued optimization problem. In addition, through transforming the minimax-type optimization problem into a series of deterministic ones by using a sequential approximate programming strategy, this paper aims to make the optimization design numerically tractable. The resulting mathematical programming problems are then efficiently solved by the association of the method of moving asymptotes with a heuristic iterative manner. Numerical investigations reveal that system uncertainties may have considerable effects on the optimal material layout of twomaterial structures. The proposed topology optimization methodology could yield a more reasonable two-material structural design than the conventional deterministic counterpart when the same reliability requirements need to be achieved.
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
