In this paper, we propose an inexact inverse iteration method for the computation of the eigenvalue with the smallest modulus and its associated eigenvector for a large sparse matrix. The linear systems of the traditional inverse iteration are solved with accuracy that depends on the eigenvalue with
An improved iterative method for large strain viscoplastic problems
β Scribed by H.-L. Cao; M. Potier-Ferry
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 167 KB
- Volume
- 44
- Category
- Article
- ISSN
- 0029-5981
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β¦ Synopsis
In this work, some techniques are proposed to improve the usual Newton-Raphson Method (NRM) used in the numerical analysis of large strain viscoplastic problems. These techniques, based on the ΓΏrst-order perturbation technique, allow to deΓΏne an adaptive step strategy and to improve the trial solution (guessed solution) for the ΓΏrst iteration at each step. To assess the e ciency of the proposed techniques, a number of numerical examples are presented: necking of a circular bar, plane strain bending, and an axisymmetric hydrostatic bulging process. Compared with the classical Newton-Raphson method, the proposed scheme requires less matrix inversions, less time steps and less CPU time. For a typical axisymmetric hydrostatic bulging process (606 degrees of freedom), the proposed method needs 5 times less matrix inversions, 1β’7 times less time steps, and 4 times less CPU time.
π SIMILAR VOLUMES
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