Based on the ambient vibration data, modal identification can help provide significant previous study for model updating and damage detection during the service life of a structure.
From the modal analysis of the ambient vibration data, two types of mode shapes are identified by operational modal analysis.
A numerical example is carried out based a spinning finite element (SFE) model, and verified using ANSYS® Ver. 12. Finally, comments and observations are provided on how this subspace realization technique can be extended to the problem of modal-parameter identification using only ambient vibration data.
Discussions on the relative accuracy of identified natural frequency and mode shape and their relative significance in the model updating process have been made via processing the vibration data through the Fast Bayesian FFT modal identification method.
The identification of the mode shapes and modal damping ratios is carried out using ambient vibration data as a verification procedure.
This paper presents observations on the identified modal properties of two tall buildings using ambient vibration data collected during strong wind events.
The traditional modal-based indices are also calculated using the same vibration data for comparison.
This paper presents operational modal analysis of an eight-storey concrete building using ambient vibration data collected in an 'asynchronous' manner, i.e., different sensors using possibly different clocks for data sampling.
For one of the three taut cables, more informative vibration data were recorded; this cable was studied in greater detail via modal analysis using a modal decomposition technique and nonlinear time-series analysis.
However, the high-quality vibration data collection technology calls for a more accurate modal identification method to improve the accuracy of the results.
