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An Implicit Gradient Method for Cell-Centered Finite-Volume Solver on Unstructured Grids

机译:非结构网格上以单元为中心的有限体积求解器的隐式梯度方法

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In this paper, we investigate an implicit gradient method for a second-order cell-centered finite-volume method on unstructured grids. In the implicit gradient method, solution gradients are obtained by solving a global system of linear equations, but they can be computed iteratively along with an implicit finite-volume solver iteration for the Euler or Navier-Stokes equations. The cost of the implicit gradient computation is thereby made comparable to or even cheaper than that of explicit gradient methods such as a least-squares method. Furthermore, a known stability issue with a face-neighbor gradient stencil is effectively circumvented by expanding the gradient stencil to the entire domain. We discuss the relative performance of the implicit gradient method and a least-squares method for various inviscid and viscous flow computations on unstructured grids.
机译:在本文中,我们研究了非结构化网格上二阶以细胞为中心的有限体积方法的隐式梯度方法。在隐式梯度法中,解决方案梯度是通过求解线性方程组的整体系统而获得的,但是可以与针对Euler或Navier-Stokes方程的隐式有限体积求解器迭代一起迭代计算。因此,隐式梯度计算的成本可与显式梯度方法(例如最小二乘法)相比,甚至更低。此外,通过将梯度模板扩展到整个区域,可以有效地避免面邻居梯度模板的已知稳定性问题。我们讨论了非结构网格上各种不粘和粘滞流计算的隐式梯度法和最小二乘法的相对性能。

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