2013
DOI: 10.1016/j.soildyn.2012.11.007
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Estimating the “effective period” of bilinear systems with linearization methods, wavelet and time-domain analyses: From inelastic displacements to modal identification

Abstract: This paper revisits and compares estimations of the effective period of bilinear systems as they result from various published equivalent linearization methods and signal processing techniques ranging from wavelet analysis to time domain identification. This work has been mainly motivated from modal identification studies which attempt to extract vibration periods and damping coefficients of structures that may undergo inelastic deformations. Accordingly, this study concentrates on the response of bilinear sys… Show more

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Cited by 12 publications
(4 citation statements)
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“…fixed‐base linear elastic cantilevers) does not depend on the amplitude of the oscillations. Vibration of structures characterized by a bi‐linear force‐deformation response with hardening (a positive post‐yield stiffness) can be characterized by an effective period measure that depends, but not strongly, on the amplitude of the oscillations. However, the vibration period of rocking systems characterized by a rigid‐softening (negative post‐yield stiffness) behavior depends strongly on the amplitude of motion .…”
Section: Comparison Between Experimental and Analytical Resultsmentioning
confidence: 99%
“…fixed‐base linear elastic cantilevers) does not depend on the amplitude of the oscillations. Vibration of structures characterized by a bi‐linear force‐deformation response with hardening (a positive post‐yield stiffness) can be characterized by an effective period measure that depends, but not strongly, on the amplitude of the oscillations. However, the vibration period of rocking systems characterized by a rigid‐softening (negative post‐yield stiffness) behavior depends strongly on the amplitude of motion .…”
Section: Comparison Between Experimental and Analytical Resultsmentioning
confidence: 99%
“…The study proposed equations for predicting the accuracy of the predicted peak displacement as functions of isolation system's property and ground motion type. Beside these researches on isolation systems, there have been also many studies on the accuracy, limitation and improvement of the secant stiffness approach on other nonlinear systems [14][15][16][17][18][19][20].…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, numerous alternative linearization approaches yielding larger effective stiffness values from the secant stiffness have been developed for the task based on RHA of inelastic SDOF oscillators for large ensembles of recorded GMs (see e.g., [31,32,33 and references therein]). Some of these linearization approaches apply signal processing tools to the nonlinear response time-histories to define Tef such as Fourier-based peak picking [34] and wavelet analysis [35], while others consider statistical fitting of heavily damped linear response spectra to inelastic spectra (e.g., [25,30,[36][37][38]).…”
Section: Introductionmentioning
confidence: 99%