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Acceleration strategies based on bubble-type adaptive mesh refinement method

机译:基于气泡型自适应网格细化方法的加速策略

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Although the adaptive mesh refinement method based on bubble placement can generate a high-quality mesh, the efficiency of bubble placement method remains to be improved. In this study several acceleration strategies are proposed to reduce the cost of simulation. The specific strategies are given as follows: in order to reduce the number of simulation rounds, the bubbles at the new refinement level are added in advance according to the estimated bubble distribution; multilevel time step is adopted for time integration and the time step is defined separately for moving bubbles and oscillating bubbles; a scheme for setting cell length adaptively is proposed and the cell searching method is modified to improve the efficiency of establishing adjacent list; efficiency of updating bubble size is also enhanced by promoting the localization process. Numerical examples illustrate that the computing cost can significantly decrease by 70% via adopting the strategies above, while keeping the mesh quality unchanged compared with the traditional method. It shows that those strategies are efficient and suitable for adaptive mesh refinement.
机译:尽管基于气泡放置的自适应网格细化方法可以生成高质量的网格,但气泡放置方法的效率仍有待提高。在这项研究中,提出了几种加速策略来降低仿真成本。具体策略如下:为了减少仿真轮次,根据估计的气泡分布,预先添加新细化级别的气泡;时间积分采用多级时间步长,移动气泡和振荡气泡分别定义时间步长。提出了一种自适应设置信元长度的方案,并修改了信元搜索方法,以提高建立相邻列表的效率。通过促进本地化过程,还可以提高更新气泡大小的效率。数值算例表明,采用上述策略,与传统方法相比,在保持网格质量不变的情况下,计算成本可大幅降低70%。结果表明,这些策略是有效的,适用于自适应网格细化。

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