Applied Mathematics and Mechanics (English Edition) ›› 1994, Vol. 15 ›› Issue (10): 903-911.

• 论文 • 上一篇    下一篇

THE RANDOM VARIATIONAL PRINCIPLE IN FINITEDEFORMATION OF ELASTICITY ANDFINITE ELEMENT METHOD

高行山1, 张汝清2   

  1. 1. Northwesten Polytechnical University, Xi’an;
    2. Chongqing Unirersity, Chongqing
  • 收稿日期:1993-11-22 出版日期:1994-10-18 发布日期:1994-10-18

THE RANDOM VARIATIONAL PRINCIPLE IN FINITEDEFORMATION OF ELASTICITY ANDFINITE ELEMENT METHOD

Gao Hang-shan1, Zhang Ru-qing2   

  1. 1. Northwesten Polytechnical University, Xi’an;
    2. Chongqing Unirersity, Chongqing
  • Received:1993-11-22 Online:1994-10-18 Published:1994-10-18

摘要: In the present paper, we hare mtroduced the random materials. loads. geometricalshapes, force and displacement boundary condition directly. into the functionalvariational formula, by. use of a small parameter perturbation method, a unifiedrandom variational principle in finite defomation of elastieity and nonlinear randomfinite element method are esiablished, and used.for reliability, analysis of structures.Numerical examples showed that the methods have the advontages of simple andconvenient program implementation and are effective for the probabilistic problems inmechanics.

关键词: parameter identification, dynamic models, Bayes estimators, inverse eigenvalue problem, prior distribution, posterior distribution, finite deformation, vanational principle, finite element method, structural reliability analysis

Abstract: In the present paper, we hare mtroduced the random materials. loads. geometricalshapes, force and displacement boundary condition directly. into the functionalvariational formula, by. use of a small parameter perturbation method, a unifiedrandom variational principle in finite defomation of elastieity and nonlinear randomfinite element method are esiablished, and used.for reliability, analysis of structures.Numerical examples showed that the methods have the advontages of simple andconvenient program implementation and are effective for the probabilistic problems inmechanics.

Key words: parameter identification, dynamic models, Bayes estimators, inverse eigenvalue problem, prior distribution, posterior distribution, finite deformation, vanational principle, finite element method, structural reliability analysis

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