Topology-based characterization of chemically-induced pore space changes using reduction of 3D digital images Научная публикация
| Журнал |
Journal of Computational Science
ISSN: 1877-7503 |
||||||
|---|---|---|---|---|---|---|---|
| Вых. Данные | Год: 2022, Том: 58, Страницы: 101550 Страниц : 1 DOI: 10.1016/j.jocs.2021.101550 | ||||||
| Ключевые слова | Heterogeneous reactions; Persistence homology; Porous material; Reactive transport | ||||||
| Авторы |
|
||||||
| Организации |
|
Информация о финансировании (3)
| 1 |
Министерство науки и высшего образования РФ Математический центр в Академгородке |
075-15-2019-1613, 075-15-2022-281 |
| 2 | Российский научный фонд | 21-71-20003 |
| 3 | Министерство науки и высшего образования РФ | 0331-2019-0008 |
Реферат:
We present an algorithm for the pore-scale simulation of the reactive transport in a 3D case. The algorithm is designed to facilitate the observation of pore space changes caused by chemical fluid-solid interaction. Addi- tionally, the algorithm allows estimation of the main macroscopic properties evolution of the porous material, such as permeability, hydraulic tortuosity, and formation factor. Also, we develop an algorithm to compute the persistence diagrams for the independent cycles in the pore space, which quantitatively characterizes the changes in the pore space topology. Moreover, we speed up this algorithm by using the original digital image reduction approach. Applying the clustering technique to the persistence diagrams, we show that different matrix disso- lution scenarios can be distinguished based on the persistence homology. These scenarios depend on the flow rate, reaction rate, and species concentration at the inlet. At the same time, the samples from the different clusters illustrate utterly different behavior of the cross-property (porosity-permeability) relations.
Библиографическая ссылка:
Prokhorov D.
, Lisitsa V.
, Khachkova T.
, Bazaikin Y.
, Yang Y.
Topology-based characterization of chemically-induced pore space changes using reduction of 3D digital images
Journal of Computational Science. 2022. V.58. P.101550. DOI: 10.1016/j.jocs.2021.101550 WOS Scopus РИНЦ OpenAlex
Topology-based characterization of chemically-induced pore space changes using reduction of 3D digital images
Journal of Computational Science. 2022. V.58. P.101550. DOI: 10.1016/j.jocs.2021.101550 WOS Scopus РИНЦ OpenAlex
Даты:
| Поступила в редакцию: | 12 окт. 2021 г. |
| Опубликована online: | 30 окт. 2021 г. |
| Принята к публикации: | 27 дек. 2021 г. |
| Опубликована в печати: | 6 янв. 2022 г. |
Идентификаторы БД:
| Web of science: | WOS:000820278700009 |
| Scopus: | 2-s2.0-85122249745 |
| РИНЦ: | 47552202 |
| OpenAlex: | W4200519076 |