This paper describes novel explicit algorithms that are unconditionally stable. The algorithms are applied to some 1D convection and diffusion problems, including nonlinear problems. Algorithms such as these are of particular interest for massively parallel computers, where one is trying to minimize
An unconditionally stable explicit algorithm for structural dynamics
β Scribed by D. M. Trujillo
- Publisher
- John Wiley and Sons
- Year
- 1977
- Tongue
- English
- Weight
- 656 KB
- Volume
- 11
- Category
- Article
- ISSN
- 0029-5981
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β¦ Synopsis
Abstract
This paper presents an unconditionally stable explicit algorithm for the direct integration of the structural dynamic equations of motion. The algorithm is restricted to a diagonal mass matrix and positive definite symmetric stiffness and damping matrices. The algorithm is based on splitting the stiffness and damping matrices into strictly lower and upper trangular form. Unconditional stability is proven, but only for the undamped case and a completely symmetric splitting of the stiffness matrix. An alternate splitting method is also presented and numerical examples indicate superior performance over the symmetric splitting, but only a conditional stability. A springβmassβdashpot model is used to illustrate the algorithm.
π SIMILAR VOLUMES
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