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Mesh block refinement technique for incompressible flows in complex geometries using Cartesian grids

机译:使用Cartesian网格的复杂几何形状中不可压缩流动的网块细化技术

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The present study performs a block refinement technique for the simulation and computation of flows inside domains of arbitrary shaped bounds. The discretisation of the physical domains is achieved by the use of Cartesian grids only. The curvilinear geometries are approached in Cartesian co-ordinates by Cartesian grid lines. In order to achieve the best approach of the original contour, we choose the saw tooth method to determine the appropriate approximated Cartesian points. The refinement method is based on the use of a sequence of nested rectangular meshes in which numerical simulation is taking place. The method is applied for the solution of the incompressible Navier-Stokes equations, for steady and laminar flows, based on a cell centre approximation projection. We present the numerical simulation of internal and external flows for different values of a Reynolds number. The utility of the algorithm is tested by comparing the convergence characteristics and accuracy to those of the standard single grid and BFC grid algorithms.
机译:本研究对任意形状边界域内的流动模拟和计算进行块改进技术。仅通过使用笛卡尔网格来实现物理域的自由级。 Cartesian网格线在笛卡尔协调中接近曲线的几何。为了实现原始轮廓的最佳方法,我们选择锯齿方法来确定适当的近似的笛卡尔点。细化方法基于使用嵌套矩形网格序列,其中正在进行该嵌套矩形网格。基于电池中心近似投影,该方法应用于不可压缩的Navier-Stokes方程的稳定和层流的溶液。我们介绍了内部和外部流量的数值模拟,以获得雷诺数的不同值。通过将收敛特性和准确性与标准单网格和BFC网格算法的算法进行比较来测试算法的效用。

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