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Parallel anisotropic mesh adaptation with boundary layers for automated viscous flow simulations

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Abstract

This paper presents a set of parallel procedures for anisotropic mesh adaptation accounting for mixed element types used in boundary layer meshes, i.e., the current procedures operate in parallel on distributed boundary layer meshes. The procedures accept anisotropic mesh metric field as an input for the desired mesh size field and apply local mesh modifications to adapt the mesh to match/satisfy the specified mesh size field. The procedures fully account for the parametric geometry of curved domains and maintain the semi-structured nature of the boundary layer elements. The effectiveness of the procedures is demonstrated on three viscous flow examples that include the ONERA M6 wing, a heat transfer manifold, and a scramjet engine.

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Acknowledgments

This work is supported by the National Science Foundation under Grant No. 0749152, and by the U.S. Department of Energy under DOE Grant No. DE-FC02-06ER25769, and by the NASA STTR Part II Grant No. BEE103/NNX11CC69C. Computing support is provided by the National Energy Research Scientific Computing Center for granting access to the Hopper Cray XE6 supercomputer. Resources at the Center for Computational Innovations (CCI) at Rensselaer were also used for testing and development. The authors would like to acknowledge the help of Dr. L. Fovargue on the ONERA M6 case and F. Nihan Cayan and O. Breslouer for help with the scramjet case.

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Authors and Affiliations

  1. Scientific Computation Research Center, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA

    Onkar Sahni, Aleksandr Ovcharenko, Kedar C. Chitale & Mark S. Shephard

  2. University of Colorado at Boulder, Boulder, CO, 80309, USA

    Kenneth E. Jansen

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  1. Onkar Sahni
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  3. Kedar C. Chitale
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Correspondence to Onkar Sahni.

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Sahni, O., Ovcharenko, A., Chitale, K.C. et al. Parallel anisotropic mesh adaptation with boundary layers for automated viscous flow simulations. Engineering with Computers 33, 767–795 (2017). https://doi.org/10.1007/s00366-016-0437-2

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