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Study About Real-Time Finite Element Method Using CNN

[+] Author Affiliations
JingBo Gao, MinQiang Xu, RiXin Wang

Harbin Institute of Technology, Harbin, China

Paper No. PVP2003-1908, pp. 237-242; 6 pages
  • ASME 2003 Pressure Vessels and Piping Conference
  • Computer Technology and Applications
  • Cleveland, Ohio, USA, July 20–24, 2003
  • Conference Sponsors: Pressure Vessels and Piping Division
  • ISBN: 0-7918-1699-0
  • Copyright © 2003 by ASME


The paper presents cellular neural network (CNN) for real-time finite element method, useful as calculating temperature field and thermal stress field for rotor of turbine and so on. The comparability between template of CNN and the stiffness matrix of finite element is analyzed, and the conception of finite element template (FMT) of CNN is discussed. The FMT can be suitable for finite element grid with arbitrary shape. In this paper, the FMT is simulated by temperature field of rotor of turbine, the result is right.

Copyright © 2003 by ASME



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