Physics-based hybrid method for multiscale transport in porous media
Physics-based hybrid method for multiscale transport in porous media
复制标题
基于物理的多孔介质多尺度传输混合方法
DOI:
10.1016/j.jcp.2017.04.055
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发表时间:
2017
影响因子:
4.1
通讯作者:
Battiato, Ilenia
中科院分区:
文献类型:
--
作者:
Yousefzadeh, Mehrdad;Battiato, Ilenia
Despite advancements in the development of multiscale models for flow and reactive transport in porous media, the accurate, efficient and physics-based coupling of multiple scales in hybrid models remains a major theoretical and computational challenge. Improving the predictivity of macroscale predictions by means of multiscale algorithms relative to classicalat-scalemodels is the primary motivation for the development of multiscale simulators. Yet, very few are the quantitative studies that explicitly address the predictive capability of multiscale coupling algorithms as it is still generally not possible to havea prioriestimates of the errors that are present when complex flow processes are modeled. We develop a nonintrusive pore-/continuum-scale hybrid model whose coupling error is bounded by the upscaling error, i.e. we build apredictivetightly coupled multiscale scheme. This is accomplished by slightly enlarging the subdomain where continuum-scale equations are locally invalid and analytically defining physics-based coupling conditions at the interfaces separating the two computational sub-domains, while enforcing state variable and flux continuity. The proposed multiscale coupling approach retains the advantages of domain decomposition approaches, including the use of existing solvers for each subdomain, while it gains flexibility in the choice of the numerical discretization method and maintains the coupling errors bounded by the upscaling error. We implement the coupling in finite volumes and test the proposed method by modeling flow and transport through a reactive channel and past an array of heterogeneously reactive cylinders.
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DOI:
10.1016/j.jcp.2014.01.015
发表时间:
2014
期刊:
J. Comput. Phys.
影响因子:
--
作者:
S. Taverniers;F. Alexander;D. Tartakovsky
通讯作者:
D. Tartakovsky
DOI:
10.1137/0913035
发表时间:
1992-03-01
期刊:
SIAM JOURNAL ON SCIENTIFIC AND STATISTICAL COMPUTING
影响因子:
--
作者:
VANDERVORST, HA
通讯作者:
VANDERVORST, HA
DOI:
10.1016/j.jcp.2016.10.052
发表时间:
2017
期刊:
J. Comput. Phys.
影响因子:
--
作者:
S. Taverniers;D. Tartakovsky
通讯作者:
D. Tartakovsky
影响因子:
3.9
作者:
Xuan Zhang;D. Tartakovsky
通讯作者:
D. Tartakovsky
影响因子:
4.7
作者:
Boso, Francesca;Battiato, Ilenia
通讯作者:
Battiato, Ilenia