Literature DB >> 17080834

Understanding the structure of the turbulent mixing layer in hydrodynamic instabilities.

D Laney1, P T Bremer, A Mascarenhas, P Miller, V Pascucci.   

Abstract

When a heavy fluid is placed above a light fluid, tiny vertical perturbations in the interface create a characteristic structure of rising bubbles and falling spikes known as Rayleigh-Taylor instability. Rayleigh-Taylor instabilities have received much attention over the past half-century because of their importance in understanding many natural and man-made phenomena, ranging from the rate of formation of heavy elements in supernovae to the design of capsules for Inertial Confinement Fusion. We present a new approach to analyze Rayleigh-Taylor instabilities in which we extract a hierarchical segmentation of the mixing envelope surface to identify bubbles and analyze analogous segmentations of fields on the original interface plane. We compute meaningful statistical information that reveals the evolution of topological features and corroborates the observations made by scientists. We also use geometric tracking to follow the evolution of single bubbles and highlight merge/split events leading to the formation of the large and complex structures characteristic of the later stages. In particular we (i) Provide a formal definition of a bubble; (ii) Segment the envelope surface to identify bubbles; (iii) Provide a multi-scale analysis technique to produce statistical measures of bubble growth; (iv) Correlate bubble measurements with analysis of fields on the interface plane; (v) Track the evolution of individual bubbles over time. Our approach is based on the rigorous mathematical foundations of Morse theory and can be applied to a more general class of applications.

Entities:  

Year:  2006        PMID: 17080834     DOI: 10.1109/TVCG.2006.186

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  4 in total

1.  Visual exploration of high dimensional scalar functions.

Authors:  Samuel Gerber; Peer-Timo Bremer; Valerio Pascucci; Ross Whitaker
Journal:  IEEE Trans Vis Comput Graph       Date:  2010 Nov-Dec       Impact factor: 4.579

2.  Uncertainty Visualization of 2D Morse Complex Ensembles Using Statistical Summary Maps.

Authors:  Tushar M Athawale; Dan Maljovec; Lin Yan; Chris R Johnson; Valerio Pascucci; Bei Wang
Journal:  IEEE Trans Vis Comput Graph       Date:  2022-02-25       Impact factor: 4.579

3.  Morse-Smale Regression.

Authors:  Samuel Gerber; Oliver Rübel; Peer-Timo Bremer; Valerio Pascucci; Ross T Whitaker
Journal:  J Comput Graph Stat       Date:  2013-01-01       Impact factor: 2.302

4.  Improving the Usability of Virtual Reality Neuron Tracing with Topological Elements.

Authors:  Torin McDonald; Will Usher; Nate Morrical; Attila Gyulassy; Steve Petruzza; Frederick Federer; Alessandra Angelucci; Valerio Pascucci
Journal:  IEEE Trans Vis Comput Graph       Date:  2021-01-28       Impact factor: 4.579

  4 in total

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