Scalable adaptive algorithms for next-generation multiphase flow simulations
Scalable adaptive algorithms for next-generation multiphase flow simulations
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DOI：
10.1109/ipdps54959.2023.00065
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发表时间：
2022-09
期刊：
影响因子：
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通讯作者：
K. Saurabh;Masado Ishii;Makrand A. Khanwale;H. Sundar;B. Ganapathysubramanian
中科院分区：
文献类型：
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作者：
K. Saurabh;Masado Ishii;Makrand A. Khanwale;H. Sundar;B. Ganapathysubramanian
在分析表现出多相流动现象的系统时，高保真度流动模拟是必不可少的。多相流模拟的准确性在很大程度上取决于用于表示流体-流体界面的最精细网格分辨率。然而，增加的分辨率带来了更高的计算成本。在这项工作中，我们提出了算法的进步，旨在通过选择性地检测需要显着更高分辨率的关键感兴趣区域（液滴/细丝）来降低计算成本，而不影响物理学。该框架使用自适应八叉树为基础的网格框架，是集成了PETSc的线性代数求解器。我们展示了在TACC的Frontera上将框架扩展到114，688个进程。最后，我们部署的框架来模拟一次射流雾化的最高分辨率的模拟之一。这种模拟-相当于均匀网格上的35万亿个网格点-比当前最先进的模拟大64倍，并为各种工程应用提供了对重要流动物理问题的前所未有的见解。
High-fidelity flow simulations are indispensable when analyzing systems exhibiting multiphase flow phenomena. The accuracy of multiphase flow simulations is strongly contingent upon the finest mesh resolution used to represent the fluid-fluid interfaces. However, the increased resolution comes at a higher computational cost. In this work, we propose algorithmic advances that aim to reduce the computational cost without compromising on the physics by selectively detecting key regions of interest (droplets/filaments) that require significantly higher resolution. The framework uses an adaptive octree–based meshing framework that is integrated with PETSc’s linear algebra solvers. We demonstrate scaling of the framework up to 114,688 processes on TACC’s Frontera. Finally, we deploy the framework to simulate one of the most resolved simulations of primary jet atomization. This simulation – equivalent to 35 trillion grid points on a uniform grid – is 64× larger than current state–of–the–art simulations and provides unprecedented insights into an important flow physics problem with a diverse array of engineering applications.