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UBC Theses and Dissertations
Tackling small-scale fluid features in large domain for computer graphics Zhang, Xinxin
Abstract
Turbulent gaseous phenomena, often visually characterized by their swirling nature, are mostly dominated by the evolution of vorticity. Small scale vortex structures are essential to the look of smoke, fire, and related effects, whether produced by vortex interactions, jumps in density across interfaces (baroclinity), or viscous boundary layers. Classic Eulerian fluid solvers do not cost-effectively capture these small-scale features in large domains. Lagrangian vortex methods show great promise from turbulence modelling, but face significant challenges in handling boundary conditions, making them less attractive for computer graphics applications. This thesis proposes several novel solutions for the efficient simulation of small scale vortex features both in Eulerian and Lagrangian frameworks, extending robust Eulerian simulations with new algorithms inspired by Lagrangian vortex methods.
Item Metadata
Title |
Tackling small-scale fluid features in large domain for computer graphics
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Creator | |
Publisher |
University of British Columbia
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Date Issued |
2017
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Description |
Turbulent gaseous phenomena, often visually characterized by their swirling nature,
are mostly dominated by the evolution of vorticity. Small scale vortex structures
are essential to the look of smoke, fire, and related effects, whether produced
by vortex interactions, jumps in density across interfaces (baroclinity), or
viscous boundary layers. Classic Eulerian fluid solvers do not cost-effectively capture
these small-scale features in large domains. Lagrangian vortex methods show
great promise from turbulence modelling, but face significant challenges in handling
boundary conditions, making them less attractive for computer graphics applications.
This thesis proposes several novel solutions for the efficient simulation
of small scale vortex features both in Eulerian and Lagrangian frameworks, extending
robust Eulerian simulations with new algorithms inspired by Lagrangian
vortex methods.
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Genre | |
Type | |
Language |
eng
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Date Available |
2017-05-02
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0347254
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URI | |
Degree | |
Program | |
Affiliation | |
Degree Grantor |
University of British Columbia
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Graduation Date |
2017-09
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Campus | |
Scholarly Level |
Graduate
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International