Industrial scale large eddy simulations (LES) with adaptive octree meshes using immersogeometric analysis

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2020-01-01
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Saurabh, Kumar
Gao, Boshun
Fernando, Milinda
Xu, Songzhe
Khanwale, Makrand A.
Khara, Biswajit
Sundar, Hari
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We present a variant of the immersed boundary method integrated with octree meshes for highly efficient and accurate Large-Eddy Simulations (LES) of flows around complex geometries. We demonstrate the scalability of the proposed method up to O(32K) processors. This is achieved by (a) rapid in-out tests; (b) adaptive quadrature for an accurate evaluation of forces; (c) tensorized evaluation during matrix assembly. We showcase this method on two non-trivial applications: accurately computing the drag coefficient of a sphere across Reynolds numbers 1−106 encompassing the drag crisis regime; simulating flow features across a semi-truck for investigating the effect of platooning on efficiency.

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This is a pre-print of the article Saurabh, Kumar, Boshun Gao, Milinda Fernando, Songzhe Xu, Biswajit Khara, Makrand A. Khanwale, Ming-Chen Hsu, Adarsh Krishnamurthy, Hari Sundar, and Baskar Ganapathysubramanian. "Industrial scale large eddy simulations (LES) with adaptive octree meshes using immersogeometric analysis." arXiv preprint arXiv:2009.00706 (2020). Posted with permission.


Published as Saurabh, Kumar, Boshun Gao, Milinda Fernando, Songzhe Xu, Makrand A. Khanwale, Biswajit Khara, Ming-Chen Hsu, Adarsh Krishnamurthy, Hari Sundar, and Baskar Ganapathysubramanian. "Industrial scale Large Eddy Simulations with adaptive octree meshes using immersogeometric analysis." Computers & Mathematics with Applications 97 (2021): 28-44. doi: https://doi.org/10.1016/j.camwa.2021.05.028.
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