Vladimir L. Kharlanov
Dr. Sci. (Engineering), Professor of the Department
"Building constructions, bases and reliability of structures". FSFEI
HE Volgograd State Technical University. Volgograd, Russian Federation
Publications
Modeling of high-intensity accelerograms based on the wavelet transform
Issue: #3-2023
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The Defiition of the Effctive Length of the Accelerogram at the MacKenzie Earthquake Example in 2018
Issue: №5 2019
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require a lot of calculations. As a rule, accelerograms have maximum values of amplitudes on a small temporal site. The article considers the possibility of using only a part of the accelerogram without loss of adequacy of calculation of seismic reactions of inelastic systems. The method of truncation of extended earthquake accelerograms for the analysis of nonlinear systems is defined. The necessity of application of the energy criterion is shown. Nonlinear oscillators for different materials are considered.
Linear Oscillator Response Spectra with Pendulum Seismic Isolators
Issue:
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Pendulum isolators are widely used for seismic isolation of structures with rigid framing schemes. The existing design methods are based on the assumption of a linear relationship between the restoring force and displacement, this being justified for small displacements. The paper proposes the method for the nonlinear system analysis based on a simple pendulum model. The response spectra of seismo-isolated linear oscillators for actual accelerograms are calculated.
Application of the wavelet transform in filtering the noise of real earthquake accelerograms
Issue: #3 2021
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In the deterministic analysis of building structures, real accelerograms are used as input data. Very often, only instrumental recordings of accelerograms that are not cleared of noise are publicly available. Such accelerograms cannot be used directly in the analysis of building structures. Various broadband filters are used to adjust the instrumental recordings of accelerographs. This article discusses the possibility of applying filters based on the wavelet transform.
The technique of the algorithm of filtering from the noise of the source data is considered. As an efficiency of this filtering algorithm, a comparative analysis of the dynamic coefficient and the energy criteria of the pulse and Arias for the corrected and instrumental accelerograms is carried out.