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Time Advancement of the Navier-Stokes Equations: p-Adaptive Exponential Methods

机译:Navier-Stokes方程的时间进展:p自适应指数方法

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摘要

An adaptive exponential time advancement framework is developed for solving the multidimensional Navier-Stokes equations with a variable-order discontinuous Galerkin (DG) discretization on hybrid unstructured curved grids. The adaptive framework is realized with cell-wise, variable-order DG refinements and a dynamic assembly of elemental Jacobian matrices. The accuracy and performance gain are investigated for several benchmark cases up to a realistic, three-dimensional rotor flow. Numerical results are shown to be more efficient than the use of uniform-order exponential DG for simulating viscous flows.
机译:开发了一种自适应指数时间进步框架,用于在混合非结构化弯曲网格上用可变秩序的不连续的Galerkin(DG)离散化来解决多维Navier-Stokes方程。自适应框架与细胞 - 明智的DG改进和元素雅加诺矩阵的动态组装实现。对几个基准情况进行了研究的准确性和性能增益,该情况高达一个真实的三维转子流量。显示数值结果比使用用于模拟粘性流动的均匀阶指数DG更有效。

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