SCREMS: Visualization of Complex Spatio-Temporal Multiscale Fluid Dynamic Phenomena

SCEMS：复杂时空多尺度流体动力学现象的可视化

• 批准号: 0922864
• 负责人: Renate Mittelmann
• 金额: $ 11.39万
• 依托单位: Arizona State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2010-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0922864&HistoricalAwards=false
• 关键词: SCREMS; Visualization; Complex; Spatio; Temporal

In recent years, the fluid dynamics community at ASU has been developing robust and efficient numerical codes for fluid dynamics simulations that span from basic fundamental problems concerned with instabilities and transitions to turbulence, and the control of such transitions, in geometrically simple geometries, to large scale oceanographic and atmospheric flow simulations at the micro, meso and global scales and developing strategies to intermesh the different levels. ASU has made a serious commitment to high performance computing with the establishment of the High Performance Computing Initiative (HPCI). While our compute-server needs are presently being met by the ASU HPCI facility, a serious bottleneck to our taking full advantage of this resource is our lack of facilities to interactively visualize and analyze the large data sets that result from our turbulent flow simulations. This is to be addressed with the acquisition of an interactive visualization cluster. The integration of interactive graphical interrogation and analysis of large complex spatio-temporal data sets into the high-performance computing paradigm will lead to a transformation in the way turbulent flows are studied. The visualization cluster will allow us, in a very accessible fashion, to augment the traditional statistical mechanics analyses of the flow fields, which rely on measures involving spatial and temporal averages, with direct analysis of how turbulent coherent structures evolve and interact. The analysis of such 4D data sets (3D spatial plus time) of not only velocity and temperature fields, but also vorticity and other relevant flow quantities such as helicity, is presently only available from large-scale direct numerical simulations. The visual interrogation and analysis of 4D simulation data will play a critical role in transforming our understanding of complex spatio-temporal flows.The interdisciplinary training of graduate students by mentors who have decades of interdisciplinary research experience between them is a core objective of this proposal. Our REU involvement will be continued by the CSUMS (Computational Science Training for Undergraduates in the Mathematical Sciences) program at ASU, where aspects of the various individual projects described in this proposal will be isolated into projects suitable for undergraduates. For the broader community, our proposed visualization cluster and how we will be utilizing it will provide a paradigm model for interactive graphical visualization and analysis of large spatio-temporal data sets.

近年来，亚利桑那州立大学的流体动力学社区一直在为流体动力学模拟开发强大而高效的数值代码，范围从与不稳定性和湍流过渡相关的基本问题以及对这种过渡的控制，在几何简单的几何结构中，到微观、中观和全球尺度的大规模海洋和大气流动模拟，以及开发不同层次相互结合的策略。 随着高性能计算计划 (HPCI) 的建立，亚利桑那州立大学对高性能计算做出了认真的承诺。虽然 ASU HPCI 设施目前可以满足我们的计算服务器需求，但我们充分利用该资源的一个严重瓶颈是我们缺乏交互式可视化和分析湍流模拟产生的大型数据集的设施。 这可以通过购买交互式可视化集群来解决。将交互式图形询问和大型复杂时空数据集分析集成到高性能计算范式中将导致湍流研究方式的转变。可视化集群将使我们能够以一种非常容易理解的方式增强传统的流场统计力学分析，这种分析依赖于涉及空间和时间平均值的测量，并直接分析湍流相干结构如何演化和相互作用。这种 4D 数据集（3D 空间加时间）的分析不仅包括速度场和温度场，还包括涡度和其他相关流动量（例如螺旋度），目前只能通过大规模直接数值模拟来分析。 4D模拟数据的视觉询问和分析将在转变我们对复杂时空流的理解方面发挥关键作用。由拥有数十年跨学科研究经验的导师对研究生进行跨学科培训是该提案的核心目标。我们 REU 的参与将通过亚利桑那州立大学的 CSUMS（数学科学本科生计算科学培训）计划继续进行，该计划中描述的各个单独项目的各个方面将被分为适合本科生的项目。对于更广泛的社区，我们提出的可视化集群以及我们将如何利用它将为交互式图形可视化和大型时空数据集的分析提供范例模型。