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首页> 外文期刊>Visualization and Computer Graphics, IEEE Transactions on >Physically-Based Feature Tracking for CFD Data
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Physically-Based Feature Tracking for CFD Data

机译：基于物理的CFD数据特征跟踪

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Numerical simulations of turbulent fluid flow in areas ranging from solar physics to aircraft design are dominated by the presence of repeating patterns known as coherent structures. These persistent features are not yet well understood, but are believed to play an important role in the dynamics of turbulent fluid motion, and are the subject of study across numerous scientific and engineering disciplines. To facilitate their investigation a variety of techniques have been devised to track the paths of these structures as they evolve through time. Heretofore, all such feature tracking methods have largely ignored the physics governing the motion of these objects at the expense of error prone and often computationally expensive solutions. In this paper, we present a feature path prediction method that is based on the physics of the underlying solutions to the equations of fluid motion. To the knowledge of the authors the accuracy of these predictions is superior to methods reported elsewhere. Moreover, the precision of these forecasts for many applications is sufficiently high to enable the use of only the most rudimentary and inexpensive forms of correspondence matching. We also provide insight on the relationship between the internal time stepping used in a CFD simulation, and the evolution of coherent structures, that we believe is of benefit to any feature tracking method applicable to CFD. Finally, our method is easy to implement, and computationally inexpensive to execute, making it well suited for very high-resolution simulations.
机译：从太阳物理学到飞机设计等领域，湍流的数值模拟主要由重复模式（称为相干结构）的存在决定。这些持久的特征尚未得到很好的理解，但是据信在湍流运动中起着重要的作用，并且是众多科学和工程学科的研究主题。为了促进他们的研究，已设计出多种技术来跟踪这些结构随时间演变的路径。迄今为止，所有这些特征跟踪方法都已经大大忽略了控制这些物体运动的物理原理，但容易出错，而且通常在计算上也很昂贵。在本文中，我们提出了一种特征路径预测方法，该方法基于流体运动方程基础解决方案的物理原理。据作者所知，这些预测的准确性优于其他地方报道的方法。而且，对于许多应用而言，这些预测的精确度足够高，以使得仅能够使用最基本和最便宜的形式的对应匹配。我们还提供了关于CFD仿真中使用的内部时间步长与相干结构的演变之间的关系的见解，我们认为这对适用于CFD的任何特征跟踪方法都是有益的。最后，我们的方法易于实现，并且在计算上执行起来成本低廉，非常适合于非常高分辨率的仿真。

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