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    Numerical comparison of robustness of some reduction methods in rough grids

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    Type
    Article
    Authors
    Hou, Jiangyong
    Sun, Shuyu cc
    Chen, Zhangxin
    KAUST Department
    Computational Transport Phenomena Lab
    Earth Science and Engineering Program
    Environmental Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Date
    2014-04-09
    Online Publication Date
    2014-04-09
    Print Publication Date
    2014-09
    Permanent link to this record
    http://hdl.handle.net/10754/564908
    
    Metadata
    Show full item record
    Abstract
    In this article, we present three nonsymmetric mixed hybrid RT 1 2 methods and compare with some recently developed reduction methods which are suitable for the single-phase Darcy flow problem with full anisotropic and highly heterogeneous permeability on general quadrilateral grids. The methods reviewed are multipoint flux approximation (MPFA), multipoint flux mixed finite element method, mixed-finite element with broken RT 1 2 method, MPFA-type mimetic finite difference method, and symmetric mixed-hybrid finite element method. The numerical experiments of these methods on different distorted meshes are compared, as well as their differences in performance of fluxes are discussed. © 2014 Wiley Periodicals, Inc.
    Citation
    Hou, J., Sun, S., & Chen, Z. (2014). Numerical comparison of robustness of some reduction methods in rough grids. Numerical Methods for Partial Differential Equations, 30(5), 1484–1506. doi:10.1002/num.21873
    Sponsors
    Contract grant sponsor: National Natural Science Foundation of China; contract grant number: No. 11371288
    Publisher
    Wiley
    Journal
    Numerical Methods for Partial Differential Equations
    DOI
    10.1002/num.21873
    ae974a485f413a2113503eed53cd6c53
    10.1002/num.21873
    Scopus Count
    Collections
    Articles; Environmental Science and Engineering Program; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program; Computational Transport Phenomena Lab

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