线性弹性力学的玻尔兹曼网格:周期问题和迪里夏特边界条件

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Oliver Boolakee , Martin Geier , Laura De Lorenzis
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引用次数: 0

摘要

我们为线性弹性动力学提出了一种新的二阶精确晶格玻尔兹曼公式,在类似 CFL 的条件下,这种公式对于任意材料参数组合都是稳定的。数值方案的构建使用了等效的一阶双曲方程组作为中间步骤,并为此引入了矢量晶格玻尔兹曼公式。与传统玻尔兹曼网格公式的唯一区别是使用了矢量值种群,从而保留了算法的所有计算优势。利用渐近展开技术和前稳定性结构概念,我们进一步建立了二阶一致性和分析稳定性估计。最后,我们介绍了种群的二阶一致性初始化,以及二维矩形域上 Dirichlet 边界条件的边界表述。所有理论推导都通过使用人造解的收敛性研究和长期稳定性测试进行了数值验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lattice Boltzmann for linear elastodynamics: Periodic problems and Dirichlet boundary conditions
We propose a new second-order accurate lattice Boltzmann formulation for linear elastodynamics that is stable for arbitrary combinations of material parameters under a CFL-like condition. The construction of the numerical scheme uses an equivalent first-order hyperbolic system of equations as an intermediate step, for which a vectorial lattice Boltzmann formulation is introduced. The only difference to conventional lattice Boltzmann formulations is the usage of vector-valued populations, so that all computational benefits of the algorithm are preserved. Using the asymptotic expansion technique and the notion of pre-stability structures we further establish second-order consistency as well as analytical stability estimates. Lastly, we introduce a second-order consistent initialization of the populations as well as a boundary formulation for Dirichlet boundary conditions on 2D rectangular domains. All theoretical derivations are numerically verified by convergence studies using manufactured solutions and long-term stability tests.
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来源期刊
CiteScore
12.70
自引率
15.30%
发文量
719
审稿时长
44 days
期刊介绍: Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.
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