• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
搜索

Author:

Sui, Yun-Kang (Sui, Yun-Kang.) | Liu, Jian-Xin (Liu, Jian-Xin.) | Ye, Hong-Ling (Ye, Hong-Ling.) (Scholars:叶红玲) | Du, Jia-Zheng (Du, Jia-Zheng.)

Indexed by:

EI Scopus PKU CSCD

Abstract:

Structural topology optimization problems are studied extensively by virtue of ICM (independent continuous and mapping) method. Sigmoid function in artificial neural network is modified and used as a polished function, and it's inverse function is used as a filter function for structural optimization model. In this way can the optimization model be translated into a duel programming and solved. This method is compared with power function which is used in structural topology optimization in the past. MSC. Nastran and Patran software is used as a platform to realize the program and analyze several examples which verify the correctness of the results.

Keyword:

Shape optimization Inverse problems Topology Structural optimization

Author Community:

  • [ 1 ] [Sui, Yun-Kang]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100022, China
  • [ 2 ] [Liu, Jian-Xin]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100022, China
  • [ 3 ] [Ye, Hong-Ling]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100022, China
  • [ 4 ] [Du, Jia-Zheng]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100022, China

Reprint Author's Address:

Email:

Show more details

Related Keywords:

Source :

Journal of Beijing University of Technology

ISSN: 0254-0037

Year: 2008

Issue: SUPPL.

Volume: 34

Page: 1-6

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

Online/Total:983/10685563
Address:BJUT Library(100 Pingleyuan,Chaoyang District,Beijing 100124, China Post Code:100124) Contact Us:010-67392185
Copyright:BJUT Library Technical Support:Beijing Aegean Software Co., Ltd.