首页> 外文期刊>International Journal for Numerical Methods in Fluids >ADAPTIVE LINEARIZATION AND GRID ITERATIONS WITH THE TRI-TREE MULTIGRID REFINEMENT-RECOARSEMENT ALGORITHM FOR THE NAVIER-STOKES EQUATIONS
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ADAPTIVE LINEARIZATION AND GRID ITERATIONS WITH THE TRI-TREE MULTIGRID REFINEMENT-RECOARSEMENT ALGORITHM FOR THE NAVIER-STOKES EQUATIONS

机译:Navier-Stokes方程的三树多重网格细化-再置换算法的自适应线性化和网格隔离

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摘要

The tri-tree algorithm for refinements and recoarsements of finite element grids is explored. The refinement-recoarsement algorithm not only provides an accurate solution in certain parts of the grid but also has a major influence on the finite element equation system itself. The refinements of the grid lead to a more symmetric and linear equation matrix. The recoarsements will ensure that the grid is not finer than is necessary for preventing divergence in an iterative solution procedure. The refinement-recoarsement algorithm is a dynamic procedure and the grid is adapted to the instant solution.In the tri-tree multigrid algorithm the solution from a coarser grid is scaled relatively to the increase in velocity boundary condition for the finer grid. In order to have a good start vector for the solution of the finer grid, the global Reynolds number or velocity boundary condition should not be subject to large changes. For each grid and velocity solution the element Reynolds number is computed and used as the grid adaption indicator during the refinement-recoarsement procedure. The iterative tri-tree multigrid method includes iterations with respect to the grid. At each Reynolds number the same boundary condition s are applied and the grid is adapted to the solution iteratively until the number of unknowns and elements in the grid becomes constant. In the present paper the following properties of the tri-tree algorithm are explored: the influence of the increase in boundary velocities and the size of the grid adaption indicator on the amount of work for solving the equations, the number of linear iterations and the solution error estimate between grid levels. The present work indicates that in addition to the linear and non-linear iterations, attention should also be given to grid adaption iterations.
机译:探索了一种用于有限元网格细化和精简的三叉树算法。改进-精简算法不仅在网格的某些部分提供了精确的解决方案,而且对有限元方程系统本身也产生了重大影响。网格的细化导致更加对称和线性的方程矩阵。精打细算将确保网格不比在迭代求解过程中防止发散所需的网格更细。细化-精算算法是一种动态过程,网格适用于即时解。在三树多网格算法中,相对于较细网格的速度边界条件的增加,对较粗网格的解进行缩放。为了有一个较好的起始向量来求解更精细的网格,全局雷诺数或速度边界条件不应发生较大变化。对于每个网格和速度解,计算元素雷诺数并将其用作细化-粗化过程中的网格自适应指标。迭代三树多重网格方法包括相对于网格的迭代。在每个雷诺数上,都应用相同的边界条件s,并使网格迭代地求解,直到网格中未知数和元素的数量变得恒定为止。本文研究了三叉树算法的以下特性:边界速度的增加和网格自适应指示器的大小对求解方程的工作量,线性迭代次数和解的影响网格级别之间的误差估计。本工作表明,除了线性和非线性迭代外,还应注意网格自适应迭代。

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