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Efficient Mesh Deformation Method Combined with the Moving Submesh Approach

机译:结合移动子网格方法的高效网格变形方法

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It is a challenging task to simulate the situation involving nonstationary motions, one crucial requirement of which is an efficient algorithm to realize the high-quality computational mesh deformation. The inverse distance weighting (IDW) method is a very simple mesh deformation method and the moving submesh approach (MSA) can improve the efficiency significantly. In this paper, by combining IDW with MSA, a new hybrid mesh deformation method (IDW-MSA) is proposed, which only depends on the point information of mesh and does not need to build large tables of mesh connectivity data. For the translation and rotation movements, the index parameter has different value ranges that affect mesh quality differently. The default settings of index parameter are 2.2 for translation and 6.0 for rotation, which have been shown to handle large deformations without difficulty. The results demonstrate the efficiency and robustness of this algorithm via four test cases. From the point of deformed mesh quality, it is comparable to the disk relaxation algorithm and radial basis functions (RBFs). The computational cost can be reduced by more than an order of magnitude compared with the RBFs-MSA and spring analogy approach. For these benefits, the new algorithm has the capacity for unsteady flow simulations involving boundary movements. (C) 2017 American Society of Civil Engineers.
机译:模拟涉及非平稳运动的情况是一项艰巨的任务,其中一项关键要求是实现高质量计算网格变形的有效算法。逆距离加权(IDW)方法是一种非常简单的网格变形方法,而移动子网格方法(MSA)可以显着提高效率。本文将IDW与MSA相结合,提出了一种新的混合网格变形方法(IDW-MSA),该方法仅依赖于网格的点信息,而无需构建大型的网格连通性数据表。对于平移和旋转运动,索引参数具有不同的值范围,这些值范围对网格质量的影响不同。索引参数的默认设置为平移为2.2,旋转为6.0,已显示可轻松处理大变形。结果通过四个测试案例证明了该算法的效率和鲁棒性。从变形的网格质量的角度来看,它可以与磁盘松弛算法和径向基函数(RBF)相比。与RBFs-MSA和弹簧类比方法相比,可以将计算成本降低一个数量级以上。出于这些好处,新算法具有进行涉及边界运动的非恒定流模拟的能力。 (C)2017年美国土木工程师学会。

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