OpenFOAM作为增强现实沙盒数值引擎的可行性

Elizabeth Smith
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引用次数: 0

摘要

许多增强现实沙盒使用标准数值方案的单一目的实现来实时解决浅水的Saint-Venant方程。这项工作评估了开源计算流体动力学(CFD)包OpenFOAM作为传统上使用的定制实现的替代方案。许多沙箱用于教育和研究环境,而昂贵的CFD引擎许可是不可取的。这项工作的目标是确定或创建一个OpenFOAM求解器,以处理干燥条件和复杂地形等特征。现有的shallowWaterFoam求解器被确定为最佳候选,但需要进行修改以处理代表目标应用程序的场景。用OpenFOAM软件取代现有的自定义数值算法将更容易允许将来合并其他现象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Viability of OpenFOAM as the Numerical Engine for Augmented Reality Sandbox
Many augmented reality sandboxes use a single purpose implementation of standard numerical schemes to solve the Saint-Venant equations for shallow water in real time. This work evaluates the open-source computational fluid dynamics (CFD) package OpenFOAM as an alternative to the custom implementations traditionally used. Many sandboxes are used in educational and research settings and CFD engines with costly licensing was not desirable. The goal of this work is to identify or create an OpenFOAM solver that handles features such as dry conditions and complex topographies. The existing shallowWaterFoam solver was identified as the best candidate but required modification to handle scenarios representative of the target application. Replacing the existing custom numerical algorithm with the OpenFOAM software will more easily allow future incorporation additional phenomena.
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