Flow computations using embedded boundary conditions on block structured Cartesian grid

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Abstract

Computational Fluid Dynamics (CFD) has been increasingly relied on as an important tool for the aerodynamic design. However, mesh generation for 3D complex geometries is still the most time-consuming task in CFD. Recently, Cartesian grid methods have become popular because of their advantages of fast, robust, and automatic grid generation. Authors proposed a new approach based on a block-structured Cartesian grid approach, named Building-Cube Method (BCM, [5]). This method is aimed for large-scale, high-resolution computations of flows. In the original BCM, however, the wall boundary is defined by a staircase representation to keep the simplicity of the algorithm. Therefore, to resolve boundary layers, vast amounts of grid points are required especially for high-Reynolds number flows of practial applications. In this paper, a new embedded boundary treatment suitable for high-Reynolds viscous flows on BCM is proposed. The scalability performance on cluster computers is also investigated with this method. © 2010 Springer.

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Kamatsuch, T., Fukushige, T., & Nakahashi, K. (2011). Flow computations using embedded boundary conditions on block structured Cartesian grid. In Lecture Notes in Computational Science and Engineering (Vol. 74 LNCSE, pp. 137–144). https://doi.org/10.1007/978-3-642-14438-7_14

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