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Mechanics in Engineering ›› 2004, Vol. 26 ›› Issue (2): 0-0.doi: 10.6052/1000-0992-2002-382

• Education Study •    

APPLICATION OF K-L METHOD IN MODEL RANK REDUCTION AND IDENTIFICATION

  

  • Received:2002-10-29 Revised:1900-01-01 Online:2004-04-10 Published:2004-04-10

Abstract: In order to decrease the numbers of identification parameters and overcome difficulties in computation, the rank of structure should be reduced at first. In this paper, the rank of structure model is reduced by K-L(Karhunen-Loeve) eigenvalue extracting method. Modal parameters of the reduced model are identified by the least square method. The number of identification parameters and the computing complexity are greatly reduced. A simple girder is analyzed as an example. A three rank model is obtained. The identified inherent frequencies and the ratios of modal damping are close to the analytic result.

Key words: K-L method, model rank reduction, least square method, identify