Combining physical and visual simulation—creation of the planet Jupiter for the film “2010”
SIGGRAPH '86 Proceedings of the 13th annual conference on Computer graphics and interactive techniques
SIGGRAPH '90 Proceedings of the 17th annual conference on Computer graphics and interactive techniques
Approximate and probabilistic algorithms for shading and rendering structured particle systems
SIGGRAPH '85 Proceedings of the 12th annual conference on Computer graphics and interactive techniques
Particle Systems—a Technique for Modeling a Class of Fuzzy Objects
ACM Transactions on Graphics (TOG)
Flow Visualization with Surface Particles
IEEE Computer Graphics and Applications
Focus on Scientific Visualization
Fast and resolution independent line integral convolution
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Interactive visualization of 3D-vector fields using illuminated stream lines
Proceedings of the 7th conference on Visualization '96
VIS '97 Proceedings of the 8th conference on Visualization '97
IEEE Transactions on Visualization and Computer Graphics
A Predictor-Corrector Technique for Visualizing Unsteady Flow
IEEE Transactions on Visualization and Computer Graphics
On Particle Path Generation Based on Quadrilinear Interpolation and Bernstein-Bézier Polynomials
IEEE Transactions on Visualization and Computer Graphics
Fast Display of Illuminated Field Lines
IEEE Transactions on Visualization and Computer Graphics
Research Issues in Scientific Visualization
IEEE Computer Graphics and Applications
Three Ways to Show 3D Fluid Flow
IEEE Computer Graphics and Applications
IEEE Computer Graphics and Applications
Visualizing flow over curvilinear grid surfaces using line integral convolution
VIS '94 Proceedings of the conference on Visualization '94
UFAT: a particle tracer for time-dependent flow fields
VIS '94 Proceedings of the conference on Visualization '94
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In this paper a new method for visualization of three-dimensional turbulent flow using particle motion animation is presented. The method is based on Reynolds decomposition of a turbulent flow field into a convective and a turbulent motion. At each step of particle path generation a stochastic perturbation is added, resulting in random-walk motions of particles. A physical relation is established between the perturbations and the eddy-diffusivity, which is calculated in a turbulent flow simulation. The flow data used is a mean velocity field, and an eddy-diffusivity field. The erratic particle motions are more than just a visual effect, but represent a real physical phenomenon. An implementation of the method is described, and an example of a turbulent channel flow is given, which clearly shows the random particle motions in their context of general fluid motion patterns.