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arXiv 2602.09482physics.comp-ph
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一种单阶段高阶紧凑气体动力学方案在任意拉格朗日-欧拉格式中的应用

A single-stage high-order compact gas-kinetic scheme in arbitrary Lagrangian-Eulerian formulation

Hong Kong University of Science and Technology(香港科技大学);Xi’an Jiaotong University(西安交通大学);Institute of Applied Physics and Computational Mathematics(应用物理与计算数学研究所)

Yue Zhang, Xing Ji, Yibing Chen, Fengxiang Zhao, Kun Xu

AI总结:

本文提出了一种基于ALE格式的高阶紧凑气体动力学方案,通过改进的重建和通量计算方法提高了计算效率和鲁棒性。

摘要:

本研究提出了一种基于任意拉格朗日-欧拉(ALE)格式的紧凑气体动力学方案,用于结构网格。与欧拉格式不同,ALE方法能够有效跟踪流动不连续性,如激波和接触不连续性。然而,网格运动会改变几何形状并增加计算成本。为此,引入了两种关键策略以减少成本并提高精度。第一种策略是使用气体动力学方案构造第三阶气体动力学通量,而不是使用龙格-库塔方法以实现高阶时间精度,这使得每个时间步长只需一次重建和通量计算。这种方法使能够直接更新单元平均流动变量及其梯度,利用时间准确的通量函数,从而实现紧凑的重建。第二,由于重建的显著计算成本在于重建,每次时间步长都需要重新计算重建矩阵,由于网格变化。使用一个小型矩阵的简化四阶紧凑重建以缓解这一成本。四阶空间重建与第三阶时间准确通量演化的结合确保了在ALE框架中高分辨率和计算效率。测试显示,当前的重建速度比之前的重建快2.4倍到3.0倍。此外,一种通用的ENO(GENO)方法用于处理不连续性,增强了该方案的鲁棒性。数值测试案例,如黎曼问题、索多夫问题、诺问题和萨尔茨曼问题,展示了我们方法的鲁棒性和准确性。

英文摘要:

This study presents the development of a compact gas-kinetic scheme using an arbitrary Lagrangian-Eulerian (ALE) formulation for structured meshes. Unlike the Eulerian formulation, the ALE approach effectively tracks flow discontinuities, such as shock waves and contact discontinuities. However, mesh motion alters the geometry and increases computational costs. To address this, two key strategies were introduced to reduce costs and enhance accuracy. The first strategy is to use the gas-kinetic scheme to construct a third-order gas-kinetic flux, rather than the Runge-Kutta method to achieve high-order time accuracy, which allows a single reconstruction and flux calculation per time step. This approach enables direct updates of both cell-averaged flow variables and their gradients using a time-accurate flux function, facilitating compact reconstruction. Second, the significant computational expense is spent on reconstruction, which requires recalculating the reconstruction matrix at each time step due to mesh changes. A simplified fourth-order compact reconstruction using a small matrix was used to mitigate this cost. The combination of fourth-order spatial reconstruction and third-order time-accurate flux evolution ensures both high resolution and computational efficiency in the ALE framework. The tests shows that the current reconstruction is 2.4x to 3.0x faster than the previous reconstruction. Additionally, a generalized ENO(GENO) method for handling discontinuities enhances the scheme's robustness. The numerical test cases, such as the Riemann problem, Sedov problem, Noh problem, and Saltzmann problem, demonstrated the robustness and accuracy of our method.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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