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

arXiv2009.00706MaRDI QIDQ6348191

Baskar Ganapathysubramanian, Hari Sundar, Adarsh Krishnamurthy, Biswajit Khara, Boshun Gao, Kumar Saurabh, Makrand A. Khanwale, Milinda Fernando, Ming-Chen Hsu, Songzhe Xu

Publication date: 28 August 2020

Abstract: 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 $mathcalO(32K)$ 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 $1-10^6$ encompassing the drag crisis regime; simulating flow features across a semi-truck for investigating the effect of platooning on efficiency.

Has companion code repository: https://bitbucket.org/baskargroup/dendrite-ibm

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