In Situ Analysis for Ambiguity-Free Tracking of Multiphase Flow Objects
DescriptionIn this paper, we present a novel in situ algorithm for tracking flow features characteristic of multiphase dispersed systems. The work combines elements of feature detection, temporal analysis of geometric objects and distributed data processing. We argue that high-fidelity simulations have a unique opportunity to measure certain statistical properties that are essential for building practical understanding of many scientific and industrial problems. We employ high-frequency temporal sampling to reconstruct a complete evolution of drops or bubbles. In particular, we can track various elementary properties such as position, volume and surface area, but our main focus is on events like break-up or coalescence. An implementation of the algorithm is carried out in Catalyst V2 with OpenFOAM™as a simulation code. Finally, we discuss issues that at present are inhibiting a highly-scalable application of the solution.
Event Type
Workshop
TimeSunday, 13 November 202210:30am - 10:40am CST
LocationC143-149
Recorded
Accelerator-based Architectures
Data Analytics
In Situ Processing
Scientific Computing
Visualization
Workflows
W