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


Paper Publications

Topology optimization of geometrically nonlinear structures based on an additive hyperelasticity technique

Hits:

Indexed by:期刊论文

Date of Publication:2015-04-01

Journal:COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Included Journals:SCIE、EI

Volume:286

Page Number:422-441

ISSN No.:0045-7825

Key Words:Geometrical nonlinearity; Topology optimization; Hyperelastic material; Sensitivity analysis

Abstract:This paper presents a simple but effective additive hyperelasticity technique to circumvent numerical difficulties in solving the material density-based topology optimization of elastic structures undergoing large displacements. By adding a special hyperelastic material to the design domain, excessive distortion and numerical instability occurred in the low-density or intermediate-density elements are thus effectively alleviated during the optimization process. The properties of the additional hyperelastic material are established based on a new interpolation scheme, which allows the nonlinear mechanical behaviour of the remodelled structure to achieve an acceptable approximation to the original structure. In conjunction with the adjoint variable scheme for sensitivity analysis, the topology optimization problem is solved by a gradient-based mathematical programming algorithm. Numerical examples are given to demonstrate the effectiveness of the proposed method. (C) 2014 Elsevier B.V. All rights reserved.

Pre One:A computational tool for Bayesian networks enhanced with reliability methods

Next One:2. Zhan Kang, Yiqiang Wang. Topology optimization using mesh-independent point-wise density interpolation

Profile

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