Author:
Damdinova Tatiana Tsybikovna,Ayusheev Tumen Vladimirovich,Balzhinimaeva Svetlana Mikhailovna,Abatnin Aleksandr Andreevich
Abstract
The article offers a description of parametric objects with spherical pores by generalized linear interpolation. Increasing the volume of high-resolution image data requires the development of algorithms capable of processing large images with reduced computational costs. Numerical data on the geometry of the pores of the object under study are transformed into the geometry of bodies consisting of octagonal portions of cubic shape. Parametric porous objects can model both the shape and the isoparametric interior. Often, this type of parametric bodies is used as initial or boundary conditions in numerical modeling to demonstrate internal modeling. To form a body of complex shape, parametric solid-state elements can be connected together. The continuity between the elements can be determined in the same way as when modeling cubic parametric splines. A lot of research is devoted to the reconstruction of the geometric structure of porous materials based on digital images of objects for a better understanding and representation of physical processes in a porous medium. A detailed understanding of the microstructure can be used to determine physical properties, and then to evaluate and improve the characteristics of simulated objects and processes in them. The article presents the results of the proposed algorithm in the MathCAD environment and software processing of a porous body based on digital images.
Reference17 articles.
1. A.N. Levandovskii, B.E. Mel'nikov, A.A. Shamkin. Modelirovanie poristogo materiala metodom konechnykh elementov. Stroitel'stvo unikal'nykh zdanii i sooruzhenii, 2017, №2 (53). S. 61-77.
2. Zolotukhin I.V., Kalinin Yu.E., Loginova V.I. tverdotel'nye fraktal'nye struktury. // AEE. 2005. №9. URL: https://cyberleninka.ru/article/n/tverdotelnye-fraktalnye-struktury-1 (data obrashcheniya: 01.06.2022)
3. Marie Wulff. Pore size determination by thermoporometry using acetonitrile. 2004. Rr. 291–294. URL: https://doi.org/10.1016/j.tca.2004.03.006.
4. Zohaib Atiq Khan, Ali Elkamel, Jeff T. Gostick. Efficient extraction of pore networks from massive tomograms via geometric domain decomposition. 2020. 14 r. URL: https://doi.org/10.1016/j.advwatres.2020.103734.
5. Ayusheev T.V., Damdinova T.Ts., Bal'zhinimaeva S.M. Modelirovanie poristykh tel na osnove tsifrovoi obrabotki izobrazhenii. V sbornike: Informatsionnye sistemy i tekhnologii v obrazovanii, nauke i biznese. Materialy vserossiiskoi nauchno-prakticheskoi konferentsii s mezhdunarodnym uchastiem. Ulan-Ude, 2021. S. 5-10.