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arXiv 2205.03074physics.comp-ph
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光滑粒子流体动力学综述:方法论发展与近期成就

Review on Smoothed Particle Hydrodynamics: Methodology development and recent achievement

Chi Zhang, Yujie Zhu, Dong Wu, Xiangyu Hu

AI总结:

本文综述SPH方法在理论修正、Riemann求解、邻域搜索、拉格朗日格式、流固耦合及粒子生成等方面的最新进展,并以基准测试验证其性能。

摘要:

自提出以来,完全拉格朗日无网格的光滑粒子流体动力学(SPH)方法在方法论上经历了巨大提升,并影响了科学与工程中的一系列多物理场应用。本文对SPH方法的最新发展与成就进行简明综述,包括:(1)简要回顾含核函数修正的理论与基础;(2)基于Riemann的SPH方法,其采用MUSCL、WENO和MOOD格式实现耗散限制与高阶数据重构;(3)结合粒子排序和高效双准则时间步进格式的粒子邻域搜索;(4)具有稳定化、动力学松弛和沙漏控制格式的完全拉格朗日公式;(5)含界面处理和多分辨率离散的流固耦合格式;(6)粒子松弛在网格与粒子生成中的新颖应用。最后,还相应提供了用于验证计算精度、收敛性、鲁棒性和效率的基准测试。

英文摘要:

Since its inception, the full Lagrangian meshless smoothed particle hydrodynamics (SPH) method has experienced a tremendous enhancement in methodology and impacted a range of multi-physics applications in science and engineering. The paper presents a concise review on latest developments and achievements of the SPH method, including (1) brief review of theory and fundamental with kernel corrections, (2) the Riemann-based SPH method with dissipation limiting and high-order data reconstruction by using MUSCL, WENO and MOOD schemes, (3) particle neighbor searching with particle sorting and efficient dual-criteria time stepping schemes, (4) total Lagrangian formulation with stablized, dynamics relaxation and hourglass control schemes, (5) fluid-structure interaction scheme with interface treatments and multi-resolution discretizations, (6) novel applications of particle relaxation for mesh and particle generations. Last but not least, benchmark tests for validating computational accuracy, convergence, robustness and efficiency are also supplied accordingly.

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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