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In the past few years various methods of identifying structural dynamics models from modal testing data have appeared.
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In this paper, new developments for the nonparametric processing of modal test data are presented.
This has been demonstrated by a beam example using modal test data.
In the study, the modal test data are simulated numerically using the finite element method.
A proposed extension of the present study is the extraction of material properties from the modal test data of tensioned membranes.
FE model updating techniques are used to update dynamic FE models of structures in the light of modal test data.
The effects of incomplete and noisy modal test data on the accuracy of damage detection are also discussed.
Also, the effects of incomplete measurement and noisy modal test data on the accuracy of damage quantification are discussed.
In the second case study, the method is applied to the modal test data obtained from ground vibration test (GVT) of a real aircraft.
This paper describes a procedure for detecting structural damage based on a micro-genetic algorithm using incomplete and noisy modal test data.
In order to achieve high accuracy during analytical correction whilst using modal test data, a model reduction method is preferred over a modal test data expansion method for solving the spatial co-ordinate incompatibility problem between the analytical model and the test data.
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