Applied Mathematics and Mechanics (English Edition) ›› 1990, Vol. 11 ›› Issue (4): 321-331.

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THE ANALYTICAL SOLUTIONS BASED ON THE CONCEPT OF FINITE ELEMENT METHODS

隋允康, 郭田福   

  1. Research Inst. of Engng. Mech., Dalian University of Technology, Dalian
  • 收稿日期:1988-09-30 出版日期:1990-04-18 发布日期:1990-04-18

THE ANALYTICAL SOLUTIONS BASED ON THE CONCEPT OF FINITE ELEMENT METHODS

Sui Yun-kang, Guo Tian-fu   

  1. Research Inst. of Engng. Mech., Dalian University of Technology, Dalian
  • Received:1988-09-30 Online:1990-04-18 Published:1990-04-18

摘要: On the basis of the concept of finite element methods, the rigorous analytical solutions of structural response in terms of the design variables are researched in this paper. The spatial trusses are taken as an example for the solution of the analytical expressions of the explicit displacements which are proved mathematically; then some conclusions are reached that are useful to structural sensitivity analysis and optimization. In the third part of the paper, a generalized geometric programming method is sugguested for the optimal model with the explicit displacement. Finally, the analytical solutions of the displacements of three trusses are given as examples.

关键词: second-order cone programming, nonsmooth optimization, U-Lagrangian, VU-decomposition

Abstract: On the basis of the concept of finite element methods, the rigorous analytical solutions of structural response in terms of the design variables are researched in this paper. The spatial trusses are taken as an example for the solution of the analytical expressions of the explicit displacements which are proved mathematically; then some conclusions are reached that are useful to structural sensitivity analysis and optimization. In the third part of the paper, a generalized geometric programming method is sugguested for the optimal model with the explicit displacement. Finally, the analytical solutions of the displacements of three trusses are given as examples.

Key words: second-order cone programming, nonsmooth optimization, U-Lagrangian, VU-decomposition

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