USE OF EIGENVALUE TECHNIQUE IN FINITE ELEMENT TIDAL COMPUTATIONS
β Scribed by B. M. Patil; B. V. Rao
- Publisher
- John Wiley and Sons
- Year
- 1997
- Tongue
- English
- Weight
- 174 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0271-2091
No coin nor oath required. For personal study only.
β¦ Synopsis
This paper presents the results of some studies on the development and application of a finite element method (FEM) with a closed-form solution technique for time discretization. The closed-form solution is based on the eigenvalues/vectors of a coefficient matrix. The method is first applied to the one-dimensional linearized shallow water equations and then extended to the two-dimensional shallow water equations. An attempt is made to improve its efficiency by incorporating time splitting and using the closed-form solution technique only for linear terms. Some case studies of a rectangular channel and harbour are presented to illustrate the satisfactory working of the method.
π SIMILAR VOLUMES
This paper presents a variation of Biot's consolidation theory for analysing problems involving unsaturated soils, and implemented using the "nite element method. The numerical method is applied to a few geotechnical problems as examples and the results obtained are compared to some published data.
An efficient algorithm for implementing the finite-element ( ) time-domain FETD method on parallel computers is presented. An unconditionally stable implicit FETD algorithm is combined with the ( ) finite-element tearing and interconnecting FETI method. This domain decomposition algorithm con¨erges
This paper deals with the practical implementation of the statistical equivalent linearization method (EQL) in conjunction with general FE-analysis to evaluate non-linear structural response under random excitation. A computational procedure is presented which requires the non-linear part of the sys
A general approach to impose homogeneous boundary conditions on algebraic systems deriving from variational formulations of di!erential problems is presented. The proposed approach proves to be e!ective and its performances are particularly enhanced when sparse matrices are dealt with. It applies to