One of the ways in which models of structural dynamics can be improved is by taking the various uncertainties that exist into consideration. This would also increase the reliability of predicted calculation trends in these models. Here, an original, robust, multi-level dynamic condensation method of
MODEL REDUCTION BY A SIMPLIFIED VARIANT OF DYNAMIC CONDENSATION
โ Scribed by N. Bouhaddi; R. Fillod
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 479 KB
- Volume
- 191
- Category
- Article
- ISSN
- 0022-460X
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โฆ Synopsis
A simplified variant of exact dynamic condensation is presented. It allows one to improve considerably the Guyan condensation method in direct dynamic analysis or in substructuring. The dynamic effects of the slave (eliminated) degrees of freedom (abr. dof) are taken into account unlike in the Guyan condensation method which later leads in most cases to errors in the computed eigenvalues and eigenvectors. The proposed variant leads to improved precision in the computed eigensolutions in a well defined frequency domain. This method is also easier to apply numerically than the Guyan technique and it can be easily adapted to dynamic substructuring. The examples presented show the usefulness of the proposed method and the performances obtained.
๐ SIMILAR VOLUMES
## In this paper, a model reduction technique to remedy the singularity of reduced- order models is proposed. The approach adopted is based on the least-square fitting of timemoments of the system. The proposed method is also auailable to stabilize unstable reduced models. This method is superior t