论文标题

流体动力湍流合奏的拓扑分析 - 一项实验研究

Topological Analysis of Ensembles of Hydrodynamic Turbulent Flows -- An Experimental Study

论文作者

Nauleau, Florent, Vivodtzev, Fabien, Bridel-Bertomeu, Thibault, Beaugendre, Heloise, Tierny, Julien

论文摘要

本申请论文对拓扑数据分析(TDA)的适用性进行了全面的实验评估,以进行湍流的定量比较。具体而言,我们的研究记录了流动肠的最大值(已建立的涡度指标)的持续图的使用,用于180个集合成员的拓扑表示,这是由五个数值求解器的参数空间的粗略采样而产生的。我们记录了域专家报告的五个主要假设,描述了他们对不同求解器配置产生的流量变异性的期望。我们贡献了三种评估方案,以通过两种比较度量评估上述假设的验证:(i)科学成像(L2规范)中使用的标准距离和(ii)持久图(L2-Wasserstein Metric)之间建立的拓扑距离。在输入集合上进行的广泛实验表明,由于其涡旋的配置,拓扑距离(II)报告彼此相近的流动彼此相似。总体而言,我们的研究报道的见解带来了TDA代表和比较动荡流的适用性的实验证据,从而使流体动态社区对未来工作的使用信心提供了信心。此外,我们的流数据和评估协议为TDA社区提供了一个由应用程序批准的基准测试,用于评估和设计进一步的拓扑距离。

This application paper presents a comprehensive experimental evaluation of the suitability of Topological Data Analysis (TDA) for the quantitative comparison of turbulent flows. Specifically, our study documents the usage of the persistence diagram of the maxima of flow enstrophy (an established vorticity indicator), for the topological representation of 180 ensemble members, generated by a coarse sampling of the parameter space of five numerical solvers. We document five main hypotheses reported by domain experts, describing their expectations regarding the variability of the flows generated by the distinct solver configurations. We contribute three evaluation protocols to assess the validation of the above hypotheses by two comparison measures: (i) a standard distance used in scientific imaging (the L2 norm) and (ii) an established topological distance between persistence diagrams (the L2-Wasserstein metric). Extensive experiments on the input ensemble demonstrate the superiority of the topological distance (ii) to report as close to each other flows which are expected to be similar by domain experts, due to the configuration of their vortices. Overall, the insights reported by our study bring an experimental evidence of the suitability of TDA for representing and comparing turbulent flows, thereby providing to the fluid dynamics community confidence for its usage in future work. Also, our flow data and evaluation protocols provide to the TDA community an application-approved benchmark for the evaluation and design of further topological distances.

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