Abstract—Frequency Domain Decomposition (FDD) is an operational modal analysis method by which the dynamic parameters of structures are obtained using response signals recorded on several locations of structures. In recent years, many researchers have employed the method to estimate the modal parameters of several Multi-Degree-of-Freedom (MDOF) mechanical and civil systems. The accuracy of the results depends on recording and signal processing parameters such as sampling frequency, windowing, filtering etc. As a result, investigation on the influence of these parameters on the accuracy of the estimates is a good practice. In this research, the uncertainty of modal frequencies obtained from FDD method is analyzed. In order to achieve this goal, the exact values of modal parameters must be available to be compared with the results from FDD method. For this purpose, synthetic signals with random characteristics the same as the ambient vibrations’ are produced and structures with known dynamic parameters are simulated and loaded. The effect of several parameters are investigated in the accuracy of results and proper values and settings are proposed to minimize the errors.
Index Terms—Frequency Domain Decomposition (FDD), Operational Modal Analysis (OMA), modal identification, uncertainty analysis, ambient vibrations.
Mohammad Ali Hadianfard is with Department of Civil and Environmental Engineering, Shiraz University of Technology, Shiraz, Iran (e-mail: hadianfard@sutech.ac.ir).
Soroosh Kamali is with Department of Earthquake Engineering, Shiraz University of Technology, Shiraz, Iran (e-mail: s.kamali@sutech.ac.ir).
[PDF]
Cite: Mohammad Ali Hadianfard and Soroosh Kamali, "Analysis of Modal Frequencies Estimated from Frequency Domain Decomposition Method," International Journal of Engineering and Technology vol. 12, no. 3, pp. 41-47, 2020.
