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Moving Kriging reconstruction for high-order finite volume computation of compressible flows

机译:移动Kriging重构用于可压缩流的高阶有限体积计算

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This paper describes the development of a high-order finite volume method for the solution of compressible viscous flows on unstructured meshes. The novelty of this approach is based on the use of moving Kriging shape functions for the computation of the derivatives in the numerical flux reconstruction step at the cell faces. For each cell, the successive derivatives of the flow variables are deduced from the interpolation function constructed from a compact stencil support for both Gaussian and quartic spline correlation models. A particular attention is paid for the study of the influence of the correlation parameter onto the accuracy of the numerical scheme. The effect of the size of the moving Kriging stencil is also investigated. Robustness and convergence properties are studied for various inviscid and viscous flows. Results reveal that the moving Kriging shape function can be considered as an interesting alternative for the development of high-order methodology for complex geometries.
机译:本文描述了一种高阶有限体积方法的发展,用于求解非结构化网格上的可压缩粘性流。这种方法的新颖性基于移动Kriging形状函数的使用,用于在单元面的数值通量重建步骤中计算导数。对于每个单元,流量变量的连续导数是从对高斯和四次样条相关模型的紧凑型模板支持构造的插值函数推导出来的。研究相关参数对数值方案精度的影响尤其要引起注意。还研究了移动的Kriging模具尺寸的影响。研究了各种粘性和粘性流的鲁棒性和收敛性。结果表明,移动Kriging形状函数可以视为开发复杂几何形状的高阶方法的有趣替代方法。

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