A Hybrid-Dimensional Coupled Pore-Network/Free-Flow Model Including Pore-Scale Slip and Its Application to a Micromodel Experiment
A Hybrid-Dimensional Coupled Pore-Network/Free-Flow Model Including Pore-Scale Slip and Its Application to a Micromodel Experiment
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包括孔隙尺度滑移的混合维度耦合孔隙网络/自由流动模型及其在微观模型实验中的应用
DOI：
10.1007/s11242-020-01477-y
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发表时间：
2020-09
影响因子：
2.7
通讯作者：
R. Helmig
中科院分区：
文献类型：
--
作者：
K. Weishaupt;A. Terzis;I. Zarikos;G. Yang;B. Flemisch;D. A. M. de Winter;R. Helmig
AbstractModeling coupled systems of free flow adjacent to a porous medium by means of fully resolved Navier–Stokes equations is limited by the immense computational cost and is thus only feasible for relatively small domains. Coupled, hybrid-dimensional models can be much more efficient by simplifying the porous domain, e.g., in terms of a pore-network model. In this work, we present a coupled pore-network/free-flow model taking into account pore-scale slip at the local interfaces between free flow and the pores. We consider two-dimensional and three-dimensional setups and show that our proposed slip condition can significantly increase the coupled model’s accuracy: compared to fully resolved equidimensional numerical reference solutions, the normalized errors for velocity are reduced by a factor of more than five, depending on the flow configuration. A pore-scale slip parameter $$beta _{{{{rm pore}}}}$$.β.pore. required by the slip condition was determined numerically in a preprocessing step. We found a linear scaling behavior of $$beta _{{{{rm pore}}}}$$.β.pore. with the size of the interface pore body for three-dimensional and two-dimensional domains. The slip condition can thus be applied without incurring any run-time cost. In the last section of this work, we used the coupled model to recalculate a microfluidic experiment where we additionally exploited the flat structure of the micromodel which permits the use of a quasi-3D free-flow model. The extended coupled model is accurate and efficient.
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影响因子：
2.5
作者：
M. Balhoff;Sunil G. Thomas;M. Wheeler
通讯作者：
M. Balhoff;Sunil G. Thomas;M. Wheeler
DOI：
10.1137/16m1076770
发表时间：
2015-10
期刊：
SIAM J. Sci. Comput.
影响因子：
--
作者：
Nguyenho Ho;S. Olson;H. Walker
通讯作者：
Nguyenho Ho;S. Olson;H. Walker
DOI：
10.1016/j.jcpx.2019.100011
发表时间：
2019
期刊：
J. Comput. Phys. X
影响因子：
--
作者：
K. Weishaupt;V. Joekar‐Niasar;R. Helmig
通讯作者：
K. Weishaupt;V. Joekar‐Niasar;R. Helmig
影响因子：
5.4
作者：
S. Hassanizadeh;W. G. Gray
通讯作者：
S. Hassanizadeh;W. G. Gray
影响因子：
4.7
作者：
Mehmani, Yashar;Tchelepi, Hamdi A.
通讯作者：
Tchelepi, Hamdi A.