A best matrix approximation technique for updating the analytical model is developed using the known modal parameters. Firstly, the known modal matrix is decomposed by means of the singular-value decomposition technique. Secondly, the general updating equations for the analytical model are obtained
ITERATIVE MATRIX APPROXIMATION FOR MODEL UPDATING
โ Scribed by S.W. Smith
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 270 KB
- Volume
- 12
- Category
- Article
- ISSN
- 0888-3270
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โฆ Synopsis
Alternating projection algorithms for matrix approximation are applied for structural model updating. Desired matrix properties such as sparsity, definiteness, and satisfaction of eigenconstraints are imposed as side constraints for a minimisation problem formulated to produce an updated matrix model which better matches measured data. Included are formulations of the update problem and discussion of the determination of solutions, convergence of the alternating projections approach as seen through geometric interpretations, and experimental verification. These approaches are verified through an application to locate damage in a laboratory truss structure using stiffness matrix approximation with experimental vibration measurements.
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