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    Robust a Posteriori Error Control and Adaptivity for Multiscale, Multinumerics, and Mortar Coupling

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    Type
    Article
    Authors
    Pencheva, Gergina V.
    Vohralík, Martin
    Wheeler, Mary F.
    Wildey, Tim
    KAUST Grant Number
    (KAUST)-AEA-UTA08-687
    Date
    2013-01
    Permanent link to this record
    http://hdl.handle.net/10754/599520
    
    Metadata
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    Abstract
    We consider discretizations of a model elliptic problem by means of different numerical methods applied separately in different subdomains, termed multinumerics, coupled using the mortar technique. The grids need not match along the interfaces. We are also interested in the multiscale setting, where the subdomains are partitioned by a mesh of size h, whereas the interfaces are partitioned by a mesh of much coarser size H, and where lower-order polynomials are used in the subdomains and higher-order polynomials are used on the mortar interface mesh. We derive several fully computable a posteriori error estimates which deliver a guaranteed upper bound on the error measured in the energy norm. Our estimates are also locally efficient and one of them is robust with respect to the ratio H/h under an assumption of sufficient regularity of the weak solution. The present approach allows bounding separately and comparing mutually the subdomain and interface errors. A subdomain/interface adaptive refinement strategy is proposed and numerically tested. © 2013 Society for Industrial and Applied Mathematics.
    Citation
    Pencheva GV, Vohralík M, Wheeler MF, Wildey T (2013) Robust a Posteriori Error Control and Adaptivity for Multiscale, Multinumerics, and Mortar Coupling. SIAM J Numer Anal 51: 526–554. Available: http://dx.doi.org/10.1137/110839047.
    Sponsors
    A portion of this research was supported by the U.S.Department of Energy, Office of Science, Office of Basic Energy Sciences. The Center for Frontiersof Subsurface Energy Security (CFSES) is a DOE Energy Frontier Research Center, under AwardNumber DE-SC0001114. The authors gratefully acknowledge the financial support provided by theNSF-CDI under contract DMS 0835745 and King Abdullah University of Science and Technology(KAUST)-AEA-UTA08-687 and DOE grant DE-FGO2-04ER25617. This author was supported by the GNR MoMaS project “Numerical Simulations and Mathematical Modeling ofUnderground Nuclear Waste Disposal,” PACEN/CNRS, ANDRA, BRGM, CEA, EdF, IRSN, France.
    Publisher
    Society for Industrial & Applied Mathematics (SIAM)
    Journal
    SIAM Journal on Numerical Analysis
    DOI
    10.1137/110839047
    ae974a485f413a2113503eed53cd6c53
    10.1137/110839047
    Scopus Count
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    Publications Acknowledging KAUST Support

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