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A Hybridized Least-Squares Ghost Fluid Method with Reduced Numerical Oscillations in Moving Boundary Problems

机译:运动边界问题中具有减少数值振荡的混合最小二乘方幻影流体方法

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A hybridized least-squares ghost fluid method is presented that increases the accuracy of the ghost fluid method while simultaneously suppressing the pressure oscillation artifact exhibited by many fixed-grid techniques for solving the incompressible Navier-Stokes equations in the presence of moving boundaries. A least-squares technique is used to extrapolate ghost values, and a blending of the governing equations and interpolation is used to allow the solution near the interface to evolve smoothly in time as grid cells transition between the solid and fluid phase. The order of accuracy of the least-squares approach is demonstrated to be 2nd-order for Poisson problems with both Dirichlet and Neumann conditions in smooth as well as irregularly shaped boundaries. The hybridization scheme is shown to maintain the order of accuracy of the GFM while significantly suppressing pressure oscillations.
机译:提出了一种混合最小二乘幻影流体方法,该方法提高了幻影流体方法的准确性,同时抑制了在存在运动边界的情况下解决不可压缩的Navier-Stokes方程的许多固定网格技术表现出的压力振荡伪影。最小二乘技术用于外推鬼值,控制方程和插值的混合用于允许界面附近的解决方案在网格单元在固相和液相之间转换时随时间平滑发展。对于在光滑以及不规则形状的边界上的Dirichlet和Neumann条件下的Poisson问题,最小二乘法的精度等级被证明为2阶。杂交方案显示出可保持GFM精度的顺序,同时显着抑制了压力波动。

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