2020
DOI: 10.1016/j.advwatres.2020.103709
|View full text |Cite
|
Sign up to set email alerts
|

Hybrid multi-scale model for partially saturated media based on a pore network approach and lattice Boltzmann method

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
16
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 15 publications
(16 citation statements)
references
References 73 publications
0
16
0
Order By: Relevance
“…When water content increases, the progressive coalescence of all bridges results in a continuous liquid phase and the material is said to be in the funicular regime [5]. This regime remains challenging to be modeled numerically at the sample scale: in DEM, only the pendular regime has been implemented [8,9], and the Lattice Boltzmann Method, that can essentially model any capillary regime, is computationally expensive [10][11][12]: for instance, modeling of water drainage in a 40-grains packing takes more than 100 days. Funicular regime is mostly studied experimentally, for example in triaxial tests in Bishop et al [13] and in shear tests in Cuomo et al [14].…”
mentioning
confidence: 99%
See 1 more Smart Citation
“…When water content increases, the progressive coalescence of all bridges results in a continuous liquid phase and the material is said to be in the funicular regime [5]. This regime remains challenging to be modeled numerically at the sample scale: in DEM, only the pendular regime has been implemented [8,9], and the Lattice Boltzmann Method, that can essentially model any capillary regime, is computationally expensive [10][11][12]: for instance, modeling of water drainage in a 40-grains packing takes more than 100 days. Funicular regime is mostly studied experimentally, for example in triaxial tests in Bishop et al [13] and in shear tests in Cuomo et al [14].…”
mentioning
confidence: 99%
“…However, more complex assemblies are difficult to handle directly through the Laplace-Young equation because of the lack of symmetry and advanced numerical methods are needed [10][11][12].…”
mentioning
confidence: 99%
“…Pore-network models require less computational power than the fully resolved grid-based techniques. On the top of that, PN is computationally also cheaper than the particle-based approaches (Montellá et al, 2020). Therefore, PN is commonly used in several fields of engineering (Ambekar, 2021).…”
Section: Network Modeling Methodsmentioning
confidence: 99%
“…This method can well characterize the heterogeneity of microscale throat, but it is not enough to describe it only with a single permeability parameter. In 2020, Zhao [115,116], Si [117], Eduard [118], and others developed a variety of pore network models to describe the geometric shapes of several real pore throats, analyzed the simplified LBM simulation process of complex pore throat, and proposed a characterization method with high precision and low cost. For porous media with three-dimensional complex geometry, Yingda [119] proposed a deep learning technique based on convolutional neural networks (CNNs), which can accurately estimate the steady-state velocity field (multiple directions) of porous media, and extended the model to the calculation of macroscale permeability.…”
Section: Macroscale Imbibition Mechanisms After Hydraulic Fracturingmentioning
confidence: 99%