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304 J. Reetz<br />

investigated are, e.g. accuracy of eigenfrequencies, size of damaged area,<br />

stiffness reduction, location, number of damages, number of considered eigenfrequencies.<br />

It turned out that the crucial parameter, which essentially influences<br />

the method, is the accuracy of the eigenfrequencies. A residual analysis<br />

determines the best fit for the simulated data, which is achieved by a linear<br />

proportionality function. The confidence interval is unchanged over the area of<br />

validity as well as the limit of quantification. Thus detection and quantification<br />

have the same sensitivity.<br />

56.4 Outlook<br />

The next step of the validation of method is the confirmation of the results of<br />

the simulations on test structures. For this purpose scale test models will be<br />

established and tests will be carried out in the laboratory and under natural<br />

excitation. Before real application on wind turbines further tests on large<br />

structures with real or artificial damages are desirable.<br />

References<br />

1. Turek M, Ventura C (2005) Finite Element Model Updating of a Scale-Model<br />

Steel Frame Building. In: Proceedings of the 1st IOMAC<br />

2. Cottin N (2001) Dynamic model updating–a multiparameter eigenvalue problem.<br />

Mechanical Systems and Signal Processing 15:649–665<br />

3. Atkinson FV (1972) Multiparameter Eigenvalue Problems I – Matrices and<br />

Compact Operators. Academic, New York, London

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