Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Marina V. Karsanina"'
Autor:
Dina Gafurova, Dmitry Korost, Kirill M. Gerke, Marina V. Karsanina, Roman V. Vasiliev, Svetlana R. Korost, Efim V. Lavrukhin
Publikováno v:
Georesursy, Vol 23, Iss 2, Pp 197-213 (2021)
In current review, we consider the Russian and, mainly, international experience of the “digital core» technology, namely – the possibility of creating a numerical models of internal structure of the cores and multiphase flow at pore space scale
Autor:
Kirill M. Gerke, Marina V. Karsanina
Publikováno v:
European Journal of Soil Science. 72:527-545
Autor:
Kirill M. Gerke, D. S. Fomin, A. V. Yudina, Efim V. Lavrukhin, K. N. Abrosimov, Marina V. Karsanina
Publikováno v:
European Journal of Soil Science. 72:561-577
Soil structure is highly interconnected to all of its properties and functions. The structure for most soils is very complex and hierarchical in nature. Considering the fact that a truly multiscale digital 3D soil structure model for a single genetic
Autor:
Dmitriy S. Fomin, Anna V. Yudina, Konstantin A. Romanenko, Konstantin N. Abrosimov, Marina V. Karsanina, Kirill M. Gerke
Publikováno v:
Geoderma. 432:116401
Autor:
Marina V. Karsanina, Kirill M. Gerke
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 611:128417
Publikováno v:
PLoS ONE, Vol 10, Iss 5, p e0126515 (2015)
Structural features of porous materials such as soil define the majority of its physical properties, including water infiltration and redistribution, multi-phase flow (e.g. simultaneous water/air flow, or gas exchange between biologically active soil
Externí odkaz:
https://doaj.org/article/eaef4f4fb97840c189477fa97e6e346c
Publikováno v:
Physical review. E. 104(3-2)
Precise characterization of three-dimensional (3D) heterogeneous media is indispensable in finding the relationships between structure and macroscopic physical properties (permeability, conductivity, and others). The most widely used experimental met
Mimicking 3D food microstructure using limited statistical information from 2D cross-sectional image
Autor:
Marina V. Karsanina, Kirill M. Gerke, Bart Nicolai, Pieter Verboven, Carla Severini, Antonio Derossi
Publikováno v:
Journal of Food Engineering. 241:116-126
We used statistical correlation functions (CFs) to describe food microstructure and to reconstruct their 3D complexity by using limited information coming from single 2D microtomographic images. Apple fleshy parenchyma tissue and muffin crumb were ch
Autor:
Marina V. Karsanina, Kirill M. Gerke
Classic soil physics relies heavily on the concept of representative elementary volume (REV), which is necessary to perform upscaling from the studied soil samples and parameterize continuum scale hydrological models (e.g., based on Richards equation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5147a2062a5272e71adc972ed02af545
https://doi.org/10.5194/egusphere-egu2020-10841
https://doi.org/10.5194/egusphere-egu2020-10841
Autor:
A. V. Yudina, Marina V. Karsanina, Kirill M. Gerke, K. N. Abrosimov, Efim V. Lavrukhin, D. S. Fomin
The ability of correlation functions to describe structure (Karsanina et al., 2015; Karsanina et al., 2018) and provide means to reconstruct the structure based on correlation functions (Gerke and Karsanina, 2015; Karsanina and Gerke, 2018) alone was
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f9f9e02ea2bc20912c8e23ad76632d8
https://doi.org/10.5194/egusphere-egu2020-10807
https://doi.org/10.5194/egusphere-egu2020-10807