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Experimental Investigation of the Flow Structure over a Delta Wing Via Flow Visualization Methods
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Visual analytics for finding critical structures in massive time-varying turbulent-flow simulations.

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    This study uses advanced visualization and data analysis to understand massive turbulent-flow simulations. These techniques reveal how intense events form and cluster in complex fluid dynamics.

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    Area of Science:

    • Fluid Dynamics
    • Computational Science
    • Data Visualization

    Background:

    • Turbulent flow simulations generate vast datasets, requiring sophisticated analysis.
    • Understanding intense events and their clustering is key to fluid dynamics research.

    Purpose of the Study:

    • To present visualization and data analysis techniques for large-scale turbulent flow simulations.
    • To enable the investigation of individual and clustered intense events within these simulations.

    Main Methods:

    • Utilized advanced visualization techniques.
    • Applied data analysis on a turbulent-flow simulation dataset of 4,096^3 cells per time slice (68 billion cells).
    • Analyzed 17 time slices, totaling one trillion cells.

    Main Results:

    • Successfully visualized and analyzed complex turbulent flow dynamics.
    • Enabled detailed examination of individual intense events.
    • Facilitated the study of how these intense events form clusters.

    Conclusions:

    • Visualization and data analysis are essential for comprehending large-scale turbulent flows.
    • The employed methods allow for in-depth investigation of dynamic event formation and clustering.