SAAMPLE：一种用于多相压力耦合方程的分离式精度驱动算法
SAAMPLE: A Segregated Accuracy-driven Algorithm for Multiphase Pressure-Linked Equations
AI总结：
本文提出新算法SAAMPLE，将混合Level Set/Front Tracking方法扩展至非结构化网格，用于模拟表面张力驱动的多相流，并在OpenFOAM中实现，提升了LENT方法的鲁棒性。
摘要：
现有的混合 Level Set / Front Tracking 方法针对结构化网格开发，已成功用于复杂多相流的高效准确模拟。本工作将混合 Level Set / Front Tracking 方法的能力扩展至使用非结构化网格处理表面张力驱动的多相流。非结构化网格传统上在 Computational Fluid Dynamics 中用于处理几何复杂的问题。为了在非结构化网格上模拟表面张力驱动的多相流，提出了一种新的 SAAMPLE（用于多相压力耦合方程的分离式精度驱动算法），提高了非结构化 Level Set / Front Tracking (LENT) 方法的鲁棒性。LENT 方法在用于 Computational Fluid Dynamics 的 Open-FOAM 开源代码中实现。
英文摘要：
Existing hybrid Level Set / Front Tracking methods have been developed for structured meshes and successfully used for efficient and accurate simulations of complex multiphase flows. This contribution extends the capability of hybrid Level Set / Front Tracking methods towards handling surface tension driven multiphase flows using unstructured meshes. Unstructured meshes are traditionally used in Computational Fluid Dynamics to handle geometrically complex problems. In order to simulate surface-tension driven multiphase flows on unstructured meshes, a new SAAMPLE Segregated Accuracy-driven Algorithm for Multiphase Pressure-Linked Equations is proposed, that increases the robustness of the unstructured Level Set / Front Tracking (LENT) method. The LENT method is implemented in the Open- FOAM open source code for Computational Fluid Dynamics.
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。
