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A two-step model order reduction method to simulate a compressible flow over an extended rough surface

机译:一种两步模型降阶方法,用于模拟扩展的粗糙表面上的可压缩流

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In this paper the ideas presented in the article Deolmi et al. (2017) to simulate efficiently a compressible flow over a rough surface are extended to a two-step model order reduction strategy. The first level consists in the formulation of effective boundary conditions, to take into account the effect of the roughness without resolving it. This requires the solution of a parameter-dependent cell problem on the micro-scale. To reduce its computational cost we add an additional step, where a second level of reduction is applied to the cell problem by means of the reduced basis method. Through numerical computations we verify the gain in efficiency of this strategy.
机译:本文中的观点发表在Deolmi等人的文章中。 (2017年)有效地模拟了在粗糙表面上的可压缩流扩展到两步模型降阶策略。第一级包括有效边界条件的制定,要考虑到粗糙度的影响而不加以解决。这需要在微观尺度上解决参数相关的单元问题。为了减少其计算成本,我们增加了一个额外的步骤,其中通过简化的基础方法对单元问题进行第二级简化。通过数值计算,我们验证了该策略效率的提高。

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