Abstract
Model updating methodologies are invariably successful when used on noise-free simulated data, but tend to be unpredictable when presented with real experimental data that are unavoidably corrupted with uncorrelated noise content. In this paper, reanalysis using frequency response functions for correlating and updating dynamic systems is presented. A transformation matrix is obtained from the relationship between the complex and the normal frequency response functions of a structure. The transformation matrix is employed to calculate the modified damping matrix of the system. The modified mass and stiffness matrices are identified from the normal frequency response functions by using the least squares method. A numerical example is employed to illustrate the applicability of the proposed method. The result indicates that the present method is effective.
Highlights
Model updating is a very active research field, in which significant efforts has been invested in recent years
Several review articles of finite element model updating reveal a wealth of updating algorithms but success seems to remain case dependent and applicability is bounded by the skill of the analyst in choosing a correct updating procedure ([1-9])
This paper suggests structural reanalysis method in which the correlated finite element model is evaluated using FRFs (Frequency Response Functions) of the structure
Summary
Model updating is a very active research field, in which significant efforts has been invested in recent years. If the dynamic properties, which are obtained only from experimental data, can approximate to some degree the modified system properties, they can be usefully utilized in order to point out locations at which the structure can be efficiently modified. On this account, recent methods reconstructing the finite element model using the experimental data from real structure have been actively studied. This paper suggests structural reanalysis method in which the correlated finite element model is evaluated using FRFs (Frequency Response Functions) of the structure. For the purpose of proving effectiveness of the structural reanalysis method proposed in this paper, a numerical test was performed
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