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    Development and analysis of entropy stable no-slip wall boundary conditions for the Eulerian model for viscous and heat conducting compressible flows

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    Preprintfile1.pdf
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    Type
    Preprint
    Authors
    Sayyari, Mohammed
    Parsani, Matteo cc
    Dalcin, Lisandro
    KAUST Department
    King Abdullah University of Science and Technology (KAUST), Computer Electrical and Mathematical Science and Engineering Division (CEMSE), Extreme Computing Research Center (ECRC), 23955-6900, Thuwal, Saudi Arabia.
    Applied Mathematics and Computational Science Program
    Extreme Computing Research Center
    Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
    Date
    2021-10-19
    Preprint Posting Date
    2021-10-20
    Online Publication Date
    2021-10-19
    Print Publication Date
    2021-12
    Permanent link to this record
    http://hdl.handle.net/10754/672967
    
    Metadata
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    Abstract
    Nonlinear entropy stability analysis is used to derive entropy stable no-slip wall boundary conditions for the Eulerian model proposed by Sv\"{a}rd (Physica A: Statistical Mechanics and its Applications, 2018). and its spatial discretization based on entropy stable collocated discontinuous Galerkin operators with the summation-by-parts property for unstructured grids. A set of viscous test cases of increasing complexity are simulated using both the Eulerian and the classic compressible Navier-Stokes models. The numerical results obtained with the two models are compared, and differences and similarities are then highlighted.
    Citation
    Partial Differ. Equ. Appl. 2, 77 (2021)
    Sponsors
    The research reported in this paper was funded by King Abdullah University of Science and Technology. We are thankful for the computing resources of the Supercomputing Laboratory and the Extreme Computing Research Center at King Abdullah University of Science and Technology.
    Publisher
    arXiv
    DOI
    10.1007/s42985-021-00132-5
    arXiv
    2110.10507
    Additional Links
    https://arxiv.org/pdf/2110.10507.pdf
    ae974a485f413a2113503eed53cd6c53
    10.1007/s42985-021-00132-5
    Scopus Count
    Collections
    Preprints; Applied Mathematics and Computational Science Program; Extreme Computing Research Center; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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