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The modal identification results are used to update and better constrain the initial finite element model of the building, which is based on the available design and construction documentation plans.
Based on the incomplete modal identification results, the most probable structural model parameters, the most probable system eigenvalues and partial modes shapes together with the associated uncertainties can be identified simultaneously.
It is shown that, when the same data length is given, larger error of modal identification results can be clearly observed for the method using output data only; while additional use of input data will significantly reduce estimation variance.
Simultaneously, the integral operational modal identification method of offshore wind turbine in the range of full power is proposed based on traditional and modified stochastic subspace identification technologies, and further the modal identification results and the relationship between structural modal parameters and environmental/operational factors are also illustrated in this paper.
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Then, two methods are proposed for structural strain modal identification and their results are compared.
Additionally, a full-order finite element model of the test structure, as well as the results from the experimental modal identification using the ERA algorithm were employed to validate the results obtained in this change-detection study.
Table 1 Results of the modal identification: estimated frequencies for each natural mode # Mode Frequency mean value (Hz) 1 2.04 2 2.26 3 7.03 4 7.60 5 9.16.
Three sets of damage identification results are obtained using modal parameters identified based on ambient, 0.03 g, and 0.05 g RMS white noise test data, respectively.
However, the high-quality vibration data collection technology calls for a more accurate modal identification method to improve the accuracy of the results.
This paper presents the results of research work on modal identification of Tsing Ma bridge ambient testing data by using an improved eigensystem realization algorithm.
Moreover, promising results in the field of automated modal identification have been recently achieved.
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