Fast Algorithms for Visualizing Fluid Motion in Steady Flow on Unstructured Grids

Authors:
S. K. Ueng;K. Sikorski;Kwan-Liu Ma
Affiliations:
Department of Computer Science, University of Utah, Salt Lake City, Utah;Department of Computer Science, University of Utah, Salt Lake City, Utah;ICASE, Mail Stop 132C, NASA Langley Research Center, Hampton, Virginia
Venue:
VIS '95 Proceedings of the 6th conference on Visualization '95
Year:
1995

Citing 6
Cited 4

Sources of error in the graphical analysis of CFD results

Journal of Scientific Computing
A vectorized particle tracer for unstructured grids

Journal of Computational Physics
The stream polygon: a technique for 3D vector field visualization

VIS '91 Proceedings of the 2nd conference on Visualization '91
Constructing stream surfaces in steady 3D vector fields

VIS '92 Proceedings of the 3rd conference on Visualization '92
Cloud tracing in convection-diffusion systems

VIS '93 Proceedings of the 4th conference on Visualization '93
Feature detection from vector quantities in a numerically simulated hypersonic flow field in combination with experimental flow visualization

VIS '94 Proceedings of the conference on Visualization '94

Efficient Streamline, Streamribbon, and Streamtube Constructions on Unstructured Grids

IEEE Transactions on Visualization and Computer Graphics
Visualizing Unstructured Flow Data Using Dual Stream Functions

IEEE Transactions on Visualization and Computer Graphics
Out-of-Core Streamline Visualization on Large Unstructured Meshes

IEEE Transactions on Visualization and Computer Graphics
LoD Volume Rendering of FEA Data

VIS '04 Proceedings of the conference on Visualization '04

Quantified Score

Hi-index	0.01

Visualization

Abstract

The plotting of streamlines is an effective way of visualizing fluid motion in steady flows. Additional information about the flowfield, such as local rotation and expansion, can be shown by drawing in the form of a ribbon or tube. In this paper, we present efficient algorithms for the construction of streamlines, streamribbons and streamtubes on unstructured grids. A specialized version of the Runge-Kutta method has been developed to speed up the integration of particle pathes. We have also derived close-form solutions for calculating angular rotation rate and radius to construct streamribbons and streamtubes, respectively. According to our analysis and test results, these formulations are two to four times better in performance than previous numerical methods. As a large number of traces are calculated, the improved performance could be significant.