A model updating method for undamped structural systems
โ Scribed by Yongxin Yuan
- Publisher
- Elsevier Science
- Year
- 2008
- Tongue
- English
- Weight
- 148 KB
- Volume
- 219
- Category
- Article
- ISSN
- 0377-0427
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โฆ Synopsis
In this paper, we first give the representation of the general solution of the following least-squares problem (LSP): Given a full column rank matrix X โ R nรp , a diagonal matrix โ R pรp and matrices andM([1, r]) are, respectively, the r ร r leading principal submatrices of K and M. We then consider a best approximation problem: Given n ร n matrices K a , M a with K a ([1, r]
where S E is the solution set of LSP. We show that the best approximation solution ( K, M) is unique and derive an explicit formula for it.
๐ SIMILAR VOLUMES
## Abstract In this paper, the following two are considered: __Problem IQEP__ Given __M__~__a__~โSR^__n__ร__n__^, ฮ=diag{ฮป~1~, โฆ, ฮป~__p__~}โC^__p__ร__p__^, __X__=[__x__~1~, โฆ, __x__~__p__~]โC^__n__ร__p__^, and both ฮ and __X__ are closed under complex conjugation in the sense that \documentclass{
A new model updating method is presented here with emphasis on identi"cation of joint sti!nesses. A so-called reduced-order characteristic polynomial (ROCP) is "rst de"ned in terms of the measured natural frequency, the partial modal properties predicted from a #awed FEM model and the model paramete
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