自适应笛卡尔网格Ghost Cell方法研究

Ghost cell methods on adaptive cartesian grids

在笛卡尔网格中,利用Ghost Cell方法处理浸入边界,模拟二维无粘可压缩流。针对静止物体,比较了各种不同的Ghost Cell边界条件下的熵误差,总压误差,以及阻力系数。此外为提高激波分辨率,将Ghost Cell方法与基于叉树结构的自适应笛卡尔网格算法相结合,数值结果显示本文的方法是切实可行的。

In this paper,the local refined Cartesian grid is used to simulate stationary objects.Various Ghost cell methods are described and used to evaluate inviscid compressible flow with immersed boundary.In order to get further information,we compare the various Ghost cell boundary conditions under the consideration of relative entropy and total pressure error.Furthermore,the dag coefficients are compared.In order to improve the resolutions of the shock and wake flow,tree structure adaptive Cartesian grid is adopted,and the adaptive criterion of solution is presented.Numerical results show that this method is very effective.