论文标题
近似流曲面以进行流动可视化
Approximate streamsurfaces for flow visualization
论文作者
论文摘要
三维速度场的瞬时特征是通过流曲面最直接地可视化的。但是,鉴于许多这样的表面通过流域的每个点,因此通常不清楚哪个流曲面应为此目的选择。该规则的例外是矢量字段,具有非等级第一积分,其级别在全球范围内表面定义了一个连续的单参数流式曲面家族。尽管通用矢量场没有第一积分,但它们的涡流区域可能会在一组离散的流tub中允许本地第一积分,因为众所周知,汉密尔顿系统可以通过不变的托里(Tori)组合进行。在这里,我们介绍了一种大约从速度数据中构造此类第一个积分的方法,并在示例中表明,它们的水平集确实是速度字段的涡旋特征,其中这些特征是从拉格朗日分析中知道的。此外,我们在数值数据集中测试我们的方法,包括在V型期内的流量和湍流通道流。对于后者,我们提出了一种算法,将最突出的障碍物固定到动量运输到给定的量表,从而从通常伴随其他涡旋可视化方法的遮挡尺度上提供了出路。
Instantaneous features of three-dimensional velocity fields are most directly visualized via streamsurfaces. It is generally unclear, however, which streamsurfaces one should pick for this purpose, given that infinitely many such surfaces pass through each point of the flow domain. Exceptions to this rule are vector fields with a nondegenerate first integral whose level surfaces globally define a continuous, one-parameter family of streamsurfaces. While generic vector fields have no first integrals, their vortical regions may admit local first integrals over a discrete set of streamtubes, as Hamiltonian systems are known to do over Cantor sets of invariant tori. Here we introduce a method to construct such first integrals approximately from velocity data, and show that their level sets indeed frame vortical features of the velocity field in examples in which those features are known from Lagrangian analysis. Moreover, we test our method in numerical data sets, including a flow inside a V-junction and a turbulent channel flow. For the latter, we propound an algorithm to pin down the most salient barriers to momentum transport up to a given scale providing a way out of the occlusion conundrum that typically accompanies other vortex visualization methods.