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:2014-04-15
Journal:COMPUTERS & STRUCTURES
Included Journals:SCIE、EI、Scopus
Volume:135
Page Number:50-61
ISSN No.:0045-7949
Key Words:Topology optimization; Adaptive refinement; Independent error control; Independent Point-wise Density Interpolation; Nodal design variable; GTR indicator
Abstract:This paper proposes a new adaptive method for topology optimization of structures, by using independent error control for the separated displacement and material density fields. Since the arrangement of the density points is unnecessarily associated with the analysis mesh in the topology optimization based on analysis-separated density interpolation, the refinements of each field can be separately implemented. Here, the analysis mesh is refined to improve the computational accuracy of the displacement field and the associated strain field within certain local regions (e.g. the regions around concentrated loading points and displacement restrictions), while the density field is refined in the regions between fully solid and void phases to improve the geometrical description quality of design boundaries. With such a strategy, the refinements of the analysis mesh and the density field are naturally separated and not bond together anymore. Actually, each refinement process is independently performed only when and where necessary. Numerical examples show that the proposed method can achieve high-quality and high-accuracy optimal solutions comparable to those obtained with fixed globally fine analysis meshes and fine distributed density points, but with much less computational cost. (C) 2014 Elsevier Ltd. All rights reserved.
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
