Svetlana V. Kharlanova
Candidate of Technical Sciences, Associate Professor of the Department of Mathematics and Informatics,
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.
Instrumental records of accelerations in the monitoring of bridge structures
Issue: #3-2024
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The analysis of accelerograms recorded both on the free surface and on the bridge structures during a strong earthquake was carried out. 17 records of the earthquake that occurred on January 1, 2023 in the Rio Dell area – Highway 101 / Bridge over the Ili River (USA) are considered. Energy criteria are calculated for each accelerogram: Arias, absolute cumulative velocity and specific energy density.
A comparison of these criteria has been performed. The conclusion is made about the low efficiency of energy criteria for the analysis of seismic resistance of structures. The fluctuations of the bridge's branded span structure into vertical and horizontal vibrations are considered in more detail. Based on the analysis of the calculated displacements, a conclusion is made about the effectiveness of seismic isolation of the pillars of the corporate span.
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.
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