Svetlana V. Kharlanova
Svetlana V. Kharlanova

Харланова Светлана Владимировна 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
read more

In the deterministic analysis of building structures, instrumental or synthesized accelerograms are used as initial data. As a rule, earthquake records corresponding to low-intensity accelerograms are available at each site. Very often instrumental recordings of high-intensity earthquakes are missing. To correct this situation, an algorithm has been developed for modeling low-intensity accelerograms to high-intensity accelerograms using a wavelet transform.

The Defiition of the Effctive Length of the Accelerogram at the MacKenzie Earthquake Example in 2018
Issue: №5 2019
read more

 For deterministic analysis of building structures it is necessary to set real or synthesized accelerograms as input data. This analysis requires considerable time, as it is performed by a step-bystep method. Real accelerograms can be of considerable length and
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.

Application of the wavelet transform in filtering the noise of real earthquake accelerograms
Issue: #3 2021
read more

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.