Visualizing vortex clusters in the wake of a high-speed train
Résumé
Visualization of fluid flows at a high-Reynolds
number (Re ~ 10 5 ) presents difficulties for user comprehension
due to density and ambiguous interactions between vortices. Prior
work has used cluster-based reduced-order modelling (CROM) to
analyze the wake of a High-Speed Train (HST) with Re = 86,000.
In this paper, we present a novel surface visualization to convey
the spatiotemporal changes undergone by clustered vortices in the
HST wake. This visualization is accomplished through
dimensional reduction of 3D volumetric vortices into 1D ridges,
and physics-based feature tracking. The result is 3D surfaces
visualizing the behavior of the vortices in the HST wake.
Compared to conventional still-image representations, these
surfaces allow the user to quickly compare and analyze the two
shedding cycles identified via CROM. The spatiotemporal
differences of the primary vortices in these shedding cycles
provide analytic insight to influence the aerodynamics of the HST.