Neural networks are applied to the identi"cation of non-linear structural dynamic systems. Two complementary problems inspired from customer surveys are successively considered. Each of them calls for a di!erent neural approach. First, the mass of the system is identi"ed based on acceleration record
Numerical stability of dynamic relaxation analysis of non-linear structures
โ Scribed by A. C. Cassell; R. E. Hobbs
- Publisher
- John Wiley and Sons
- Year
- 1976
- Tongue
- English
- Weight
- 201 KB
- Volume
- 10
- Category
- Article
- ISSN
- 0029-5981
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โฆ Synopsis
Abstract
The estimation of the parameters (โfictitious densitiesโ) which control the convergence and numerical stability of a nonโlinear Dynamic Relaxation solution is described. The optimal values of these parameters vary during the iterative solution and they are predicted from the Gerschgรถrin bounds, that is rowsums of the stiffness matrix, which are divided into constant and variable parts for computational convenience. The procedure is illustrated by reference to the analysis of an axially loaded beam on a nonโuniform elastic foundation.
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