Influence of Low-Cut Filter Frequency on Nonlinear Oscillator Displacements Computed from Non-Degrading to Degrading Hysteretic Models

Abstract eng:
Low-cut filtering used for removing the long-period noise in accelerograms is investigated for its effects on the nonlinear peak oscillator displacements. We used a suite of analog and digital accelerograms from Turkish strong-motion database and low-cut filtered each record by a set of randomly generated filter cut-offs. We computed nonlinear displacement spectra to highlight the period-dependent influence of low-cut filtering on the nonlinear oscillator response. Differences in the nonlinear oscillator response are considered by using a wide range of hysteretic models that cover non-degrading to severely degrading structural behavior. Our analyses show that inelastic spectral displacements are more vulnerable to low-cut filtering than their elastic counterparts. This can be attributed to the intricate relation between the nonlinear structural parameters, record quality and ground-motion features that increase the level of complexity between the nonlinear oscillator response and low-cut filtering. Recording type (digital / analog recording), earthquake magnitude, site classification, inelasticity level, hysteretic model as well as the variations in peak ground motion are the prominent factors about the influence of low-cut filters on peak nonlinear oscillator displacements.

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