Please use this identifier to cite or link to this item:
Or use following links to share this resource in social networks: Recommend this item
Title Prediction of defects in the structure of non-metallic heterogeneous materials
Authors Tonkonogyi, V.
Holofieieva, M.
Holofieiev, Y.
Klimov, S.
Naumenko, Y.
Dašić, P.
Keywords heterogeneous system
flaw detection
control method
defects prediction
Type Article
Date of Issue 2023
Publisher Sumy State University
License Creative Commons Attribution - NonCommercial 4.0 International
Citation Tonkonogyi V., Holofieieva M., Holofieiev Y., Klimov S., Naumenko Y., Dašić P. (2023). Prediction of defects in the structure of non-metallic heterogeneous materials. Journal of Engineering Sciences (Ukraine), Vol. 10(2), pp. C19–C25. DOI: 10.21272/jes.2023.10(2).c3
Abstract Heterogeneous media can be represented as specially organized heterogeneous materials. The complex process of forming heterogeneous materials and media as systems is realized by gradually transitioning from one state to another. The presence of many one-time transformations of space-time structures causes the latter. When simulating damage such as cracks and fractures in products made of non-metallic heterogeneous materials, which consists of “assigning” the place of damage to the product at a specific moment in time, neither the method of random selection from the previously compiled list of “dangerous” places, nor the method of transfer to the object can be used, which is modeled, the results of field and operational tests of other products of a similar class or even other products of the same class. Therefore, it is proposed to use a combined method of obtaining a stream of quasi-random numbers, that is, a stream of random numbers that are “modulated” by information about defects in the structure of the material of the product, which was obtained because of field tests of the products or during their operation.
Appears in Collections: Journal of Engineering Sciences / Журнал інженерних наук


Serbia Serbia
United Kingdom United Kingdom
United States United States
Unknown Country Unknown Country


Austria Austria
Serbia Serbia
South Korea South Korea
Ukraine Ukraine
United Kingdom United Kingdom
United States United States


File Size Format Downloads
Tonkonogyi_jes_2_2023.pdf 434,97 kB Adobe PDF 111

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.