2015
DOI: 10.1016/j.compgeo.2015.07.017
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Simulating flows in multi-layered and spatially-variable permeability media via a new Gray Lattice Boltzmann model

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Cited by 18 publications
(15 citation statements)
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“…This modified velocity is in accordance with the requirements of the partial bounce-back approach [23]. Accordingly, the flow in the mushy zone will be treated as flow in a porous medium and, thus, will be governed by the Darcy law, as proven by the derived analytical solutions in [23].…”
Section: Macroscopic Quantitiesmentioning
confidence: 69%
See 1 more Smart Citation
“…This modified velocity is in accordance with the requirements of the partial bounce-back approach [23]. Accordingly, the flow in the mushy zone will be treated as flow in a porous medium and, thus, will be governed by the Darcy law, as proven by the derived analytical solutions in [23].…”
Section: Macroscopic Quantitiesmentioning
confidence: 69%
“…In this case, the velocity field is partially bounced back and the macroscopic velocity is modified as in Equation (19) [22]. The procedure of the implementation of the partial bounce-back approach is described in [23]. Note that, to implement BCs in the current method, we are led to convert them, at the mesoscopic level, in terms of the distribution function.…”
Section: Thermal Lattice Boltzmann Equationsmentioning
confidence: 99%
“…The influence of the crack roughness on fluid flow and solute transport by advection has been recently investigated in [39]. To simulate fluid flow in multiscale porous materials, the apparent resistance of fluid flow because of heterogeneities at smaller scales can be accounted for in terms of a force field [40] or by modifying the bounceback conditions [41][42][43]. This allows to model fluid flow in porous materials with embedded microcracks.…”
Section: Lattice Boltzmann Methodsmentioning
confidence: 99%
“…Recognition of the significance of the sub-resolution pore space has prompted a sizeable number of researchers in the last couple of years to investigate ways to take this pore space into account explicitly in Lattice-Boltzmann models of water movement in soils, following Gao and Sharma (1994) and Freed (1998) . The resulting “Gray” or “Partial-Bounce-Back” (PBB) Lattice-Boltzmann models consider that each voxel in the original, grayscale CT images has a given probability of penetration by water or solutes, and therefore a complementary probability that water or solute particles that penetrate the voxel eventually bounce back to their previous positions (e.g., Sukop and Thorne, 2006 ; Chen and Zhu, 2008 ; Han et al, 2008 ; Walsh et al, 2009 ; Jones and Feng, 2011 ; El Ganaoui et al, 2012 ; Gottardi et al, 2013 ; Walsh and Saar, 2013 ; Zalzale et al, 2013 ; Chen et al, 2014 ; Li et al, 2014 ; Yoshida and Hayashi, 2014 ; Ginzburg et al, 2015 ; Xie et al, 2015 ; Yehya et al, 2015 ; Apourvari and Arns, 2016 ; Bultreys et al, 2016 ; McDonald and Turner, 2016 ; Pereira, 2016 ; Zhang et al, 2016 ). In all this work, considerable advances have been made recently and a number of technical issues have been clarified ( Ginzburg, 2016 ), yet a major experimental hurdle related to the evaluation of the penetrability of sub-resolution pores, which at this point remains an arbitrary parameter in the models.…”
Section: Progress On the Physical Frontmentioning
confidence: 99%