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The modal parameters are identified from the free-decay signals extracted using the random decrement method.
The damping characteristics which were obtained by using the random decrement technique are demonstrated and discussed.
The aerodynamic damping ratios for the 180° helical and square models were evaluated using the random decrement technique.
The aerodynamic damping ratios are evaluated from the wind-induced responses of the model by using the random decrement technique.
The amplitude-dependent characteristics of damping have been obtained by using the random decrement technique from the field measurements of acceleration responses.
The amplitude-dependent characteristics of damping that were obtained using the random decrement technique on the basis of the field measurements are investigated.
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In addition to the SOBI algorithm, the proposed method uses the Random Decrement (RD) technique and the Eigensystem Realization Algorithm (ERA) to estimate the frequencies and damping ratios of the existing electromechanical modes.
The use of the random decrement signature of the structural response to turbulence has been assessed for SHM.
In the first step, the random decrement method was used to transform random signals in free vibration responses.
The random decrement technique is used to extract the free vibration information from ambient vibration including closely-spaced modes.
The random decrement method is used to determine the deterioration through the dynamic parameters of the bridge as reported by Elshafey et al. [2] and Morsy et al. [15].
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