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首页> 外文期刊>Journal of Computational Physics >An effective integration of methods for second-order three-dimensional multi-material ALE method on unstructured hexahedral meshes using MOF interface reconstruction
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An effective integration of methods for second-order three-dimensional multi-material ALE method on unstructured hexahedral meshes using MOF interface reconstruction

机译:利用MOF界面重构对非结构化六面体网格进行二阶三维多材料ALE方法的有效集成

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摘要

This paper presents an effective second-order three-dimensional unstructured multi-material arbitrary Lagrangian-Eulerian (MMALE) method for compressible fluid dynamics. This is an integration work. The MMALE method utilizes Moment of Fluid (MOF) capability with interface reconstruction for multi-material modeling of immiscible fluids. It is of the explicit time-marching Lagrange plus remap type. In the Lagrangian phase, the staggered compatible discretization for Lagrangian gas dynamics is used also with Tipton's pressure relaxation model for the closure of mixed cells. For the remapping phase, an improved second-order cell-intersection-based method for three-dimensional unstructured mesh is presented. It is conservative for remapping cell-centered variables such as density and internal energy. It is suitable for remapping between two meshes with different topology. By using this remapping method, the new material centroid position in the rezoned cells can be geometrically computed. This enables it to be combined with the MOF algorithm for constructing a second-order MMALE method. The MMALE method can be implemented on three-dimensional unstructured hexahedral meshes. Numerical results have proved the accuracy and robustness of the MMALE method.
机译:本文提出了一种有效的可压缩流体动力学的二阶三维非结构化多材料任意拉格朗日-欧拉方法(MMALE)。这是一项整合工作。 MMALE方法利用流体矩(MOF)功能和界面重构功能来对不混溶流体进行多材料建模。它是显式的时间行进Lagrange plus重映射类型。在拉格朗日相中,拉格朗日气体动力学的交错兼容离散化也与Tipton的压力松弛模型一起用于混合单元的封闭。对于重映射阶段,提出了一种改进的基于二阶单元交叉的三维非结构化网格方法。重新映射以细胞为中心的变量(例如密度和内能)是保守的。它适用于在具有不同拓扑的两个网格之间重新映射。通过使用这种重新映射方法,可以在几何上计算重新分区单元中新材料质心的位置。这使它可以与MOF算法结合使用,以构建二阶MMALE方法。 MMALE方法可以在三维非结构化六面体网格上实现。数值结果证明了MMALE方法的准确性和鲁棒性。

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