IFIBA   22255
INSTITUTO DE FISICA DE BUENOS AIRES
Unidad Ejecutora - UE
artículos
Título:
Physically based feature tracking for CFD data
Autor/es:
J. CLYNE; P. D. MININNI; A. NORTON
Revista:
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
Editorial:
IEEE COMPUTER SOC
Referencias:
Lugar: Los Alamitos, CA, USA; Año: 2013 vol. 19 p. 1020 - 1033
ISSN:
1077-2626
Resumen:
Numerical simulations of turbulent fluid flow in areas ranging from
solar physics to aircraft design are dominated by the presence of
repeating patterns known as coherent structures. These persistent
features are not yet well understood, but are believed to play an
important role in the dynamics of turbulent fluid motion, and are the
subject of study across numerous scientific and engineering disciplines.
To facilitate their investigation a variety of techniques have been
devised to track the paths of these structures as they evolve through
time. Heretofore, all such feature tracking methods have largely ignored
the physics governing the motion of these objects at the expense of
error prone and often computationally expensive solutions. In this
paper, we present a feature path prediction method that is based on the
physics of the underlying solutions to the equations of fluid motion. To
the knowledge of the authors the accuracy of these predictions is
superior to methods reported elsewhere. Moreover, the precision of these
forecasts for many applications is sufficiently high to enable the use
of only the most rudimentary and inexpensive forms of correspondence
matching. We also provide insight on the relationship between the
internal time stepping used in a CFD simulation, and the evolution of
coherent structures, that we believe is of benefit to any feature
tracking method applicable to CFD. Finally, our method is easy to
implement, and computationally inexpensive to execute, making it well
suited for very high-resolution simulations.