Olga Daneyko

Dr. Olga Daneyko

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Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 February 2021 in Metals
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OMOleg Matvienko
Oleg Matvienko
ODOlga Daneyko
Olga Daneyko
TKTatiana Kovalevskaya
Tatiana Kovalevskaya
AKAnton Khrustalyov
Anton Khrustalyov
IZIlya Zhukov
Ilya Zhukov
AVAleksander Vorozhtsov
Aleksander Vorozhtsov
An experimental and theoretical investigation of the strength properties of aluminum alloys strengthened by dispersed nanoparticles, as well as the determination of the significance of various mechanisms responsible for the strengthening of the material, was carried out. Results of experimental investigation demonstrate that the hardening of aluminum alloy A356 by Al2O3 and ScF3 nanoparticles leads to an increase in the yield strength, ultimate tensile strength, and plasticity. Despite the similar size of Al2O3 and ScF3 nanoparticles, the physicomechanical properties of nanoparticles significantly affect the possibility of increasing the mechanical properties of the A356 aluminum alloy. A physicomathematical model of the occurrence of thermal stresses was developed caused by the mismatch of the coefficients of thermal expansion (CTEs) of the matrix and strengthening particles on the basis of the fundamental principles of mechanics of a deformable solid and taking into account the elastic properties of not only the matrix, but also the particle. The forming of thermal stresses induced due to the mismatch of the coefficients of thermal expansion of the matrix and the strengthening particle in aluminum-based composites was investigated. In the case of thermal deformation of dispersion-hardened alloys, when the CTE of the matrix and particles noticeably differ, an additional stress field is created in the vicinity of the strengthening particle. Thermal stresses increase the effective particle size. This phenomenon can significantly affect the result of the assessment of the yield strength. The strengthening caused by thermal mismatch makes the largest contribution to the yield strength improvement. The yield strength increments due to Nardon×Prewo and Orowan mechanisms are much lower.

15 March 2022 in Fire
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OMOleg Matvienko
Oleg Matvienko
Denis KasymovDenis Kasymov
Denis Kasymov
ELEgor Loboda
Egor Loboda
ALAnastasia Lutsenko
Anastasia Lutsenko
ODOlga Daneyko
Olga Daneyko
The probability of structural ignition is dependent both on physical properties of materials and the fire exposure conditions. In this study, the effect of firebrand characteristics (i.e., firebrand size, number of firebrands) on wood ignition behavior was considered. Mathematical modeling and laboratory experiment were conducted to better understand the conditions of wood ignition by a single or group of firebrands with different geometry. This model considers the heat exchange between the firebrands, wood layer and the gas phase, moisture evaporation in the firebrands and the diffusion gases of water vapor in the pyrolysis zone. In order to test and verify the model, a series of experiments to determine probability and conditions for ignition of wood-based materials (plywood, oriented strand board, chipboard) caused by wildland firebrands (pine twigs with a diameter of 6–8 mm and a length of 40 ± 2 mm) were conducted. The experiments investigated the firebrand impact on the wood layer under different parameters, such as firebrand size and quantity, wind speed, and type of wood. The results of experiments showed that the increase in wind speed leads to the increase in probability of wood ignition. Based on the received results, it can be concluded that the ignition curve of wood samples by firebrands is nonlinear and depends on the wind speed and firebrand size as well as their quantity. At the same time, there is no ignition of wood samples in the range of wind speed of 0–1 m/s. The ignition of wood is possible with a decrease in the distance between the firebrands with a decrease in the firebrand length. This result agrees more closely with the model.

7 November 2018 in Russian Physics Journal
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ODOlga Daneyko
Olga Daneyko
TKT. A. Kovalevskaya
T. A. Kovalevskaya
OMOleg Matvienko
Oleg Matvienko

4 February 2012 in Russian Physics Journal
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ODOlga Daneyko
Olga Daneyko
TKT. A. Kovalevskaya
T. A. Kovalevskaya
SKS. N. Kolupaeva
S. N. Kolupaeva
NKN. A. Kulaeva
N. A. Kulaeva
MSM. E. Semenov
M. E. Semenov

9 July 2015 in Russian Physics Journal
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ТKТ. А. Kovalevskaya
Т. А. Kovalevskaya
ODOlga Daneyko
Olga Daneyko
NKN. А. Kulaeva
N. А. Kulaeva
SKS. N. Kolupaeva
S. N. Kolupaeva