PRIYATMOKO, RICKY (2019) PREDICTION OF DYNAMIC PARAMETERS OF STRUCTURES BASED ON OUTPUT-ONLY OPERATIONAL MODAL ANALYSIS USING FREQUENCY DOMAIN DECOMPOSITION METHOD. S2 thesis, UAJY.

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Abstract

Dynamic behavior and system identification are important topic in monitoring and
maintaining existing infrastructures. System identification using Frequency Domain
Decomposition (FDD) is an operational modal analysis (OMA) in frequency domain
used on experiment of shear frame model with random vibration.

FDD method is validated by comparing output of FDD data using acceleration input
from simulated model with output of FDD using acceleration result of experimental
model. The result of acceleration data is recorded using USB accelerometer X16-1D
the calibrated and analyzed using load to Matlab programs data_procces.m and
solveFDD_eksperiment.m to estimate the modal parameter of model structure.
Compared with parameter modal of simulation model, FDD method with input
simulated acceleration resulted in difference of 1.757% in first frequency and 0.462%
in second frequency. Meanwhile for FDD method using acceleration of experimental
model, resulted in difference of 6.3126% in first frequency and 7.7327% in second
frequency. FFD method is fairly accurate in predicting the frequency of structure, but
for difference of modeshapes in experimental is very big compared to simulated model
therefore it can be concluded that this modal parameter is cannot be detected in
experimental model.

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