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Projection-Based Reduced Order Model and Machine Learning Closure for Transient Simulations of High-Re Flows
arXiv - CS - Computational Engineering, Finance, and Science Pub Date : 2021-05-23 , DOI: arxiv-2105.10854
My Ha Dao, Hoang Huy Nguyen

The paper presents a Projection-Based Reduced-Order Model for simulations of high Reynolds turbulent flows. The PBROM are enhanced by incorporating various models of turbulent viscosity and residual closures to model the effects of interactions among the modes and energy dissipations. Remarkable improvements in prediction accuracies are achieved with a suitable turbulent viscosity model and a residual closure. The enhanced PBROM models are demonstrated for high-Re flows past a cylinder in two- and three- dimensions. These enhancements have shown capable of capturing complex flow features and removing unnecessary ones, while not affecting the efficiency of the overall model.

中文翻译:

基于投影的降阶模型和机器学习闭合,用于高分辨率流的瞬态模拟

本文提出了一种基于投影的降阶模型,用于模拟高雷诺兹湍流。通过合并各种模型的湍流粘度和残余封闭来增强PBROM,以对模式之间的相互作用和能量耗散的影响进行建模。通过使用合适的湍流粘度模型和残余封闭,可以显着提高预测精度。增强型PBROM模型针对二维流过圆柱体的高Re流量进行了演示。这些增强功能已经显示出能够捕获复杂的流量特征并删除不必要的特征,同时又不影响整个模型的效率。
更新日期:2021-05-25
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