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INCOMPRESSIBLE NAVIER STOKES EQUATIONS SOLUTION USING BLOCK NESTED CARTESIAN GRID

机译:不可压缩的Navier Stokes方程式解决方案解决方案解决方案解决方案解决方案解决方案解决方案解决方案

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A method for the solution of the incompressible Navier-Stokes equation for the prediction of flows inside domains of arbitrary shaped bounds by the use of Cartesian grids with block-refinement in space is presented. In order to avoid the complexity of the body fitted numerical grid generation procedure, we use a saw tooth method for the curvilinear geometry approximation. 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 laminar flows and based on a cell-centre approximation projection. We present the numerical simulation of both an internal and an external flow, about the fluid flow inside a stenosed tube and around a symmetric airfoil respectively. The utility of the algorithm is tested by comparing the convergence characteristics and accuracy to those of the standard single grid algorithm. The Cartesian block refinement algorithm can be used in any complex curvilinear geometry simulation, to accomplish a reduction in memory requirements and the computational time effort.
机译:呈现了通过在空间中使用具有块改进的笛卡尔电网,提出了一种用于预测用于预测任意形状边界域内的流动的流程的方法。为了避免身体拟合数值网格生成过程的复杂性,我们使用锯齿法用于曲线几何近似。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。该方法应用于层流流,并基于细胞中心近似投影。我们介绍了内部和外部流动的数值模拟,关于狭窄管内的流体流动分别围绕着对称翼型。通过将收敛特性和准确性与标准单网格算法的算法进行比较来测试算法的效用。笛卡尔块细化算法可用于任何复杂的曲线几何模拟,以实现内存要求的降低和计算时间工作。

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