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Modeling ice dynamics as a thin-film Stefan problem
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Source Symposium on Computer Animation archive
Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer animation table of contents
Vienna, Austria
SESSION: Modeling natural phenomena table of contents
Pages: 167 - 176  
Year of Publication: 2006
ISBN ~ ISSN:1727-5288 , 3-905673-34-7
Authors
Theodore Kim  University of North Carolina at Chapel Hill
David Adalsteinsson  University of North Carolina at Chapel Hill
Ming C. Lin  University of North Carolina at Chapel Hill
Sponsors
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Eurographics: Eurographics
Publisher
Eurographics Association  Aire-la-Ville, Switzerland, Switzerland
Bibliometrics
Downloads (6 Weeks): 11,   Downloads (12 Months): 74,   Citation Count: 1
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ABSTRACT

Large, 3D ice formations such as icicles exhibit a high degree of geometric and optical complexity. Modeling these features by hand can be a daunting task, so we present a novel physically-based algorithm for simulating this phenomenon. Solidification is usually posed as a so-called 'Stefan problem', but the problem in its classic form is inappropriate for simulating the ice typically found in a winter scene. We instead use the 'thin-film' variant of the Stefan problem to derive velocity equations for a level set simulation. However, due to the scales involved in the problem, even an adaptive grid level set solver is still insufficient to track the tip of an icicle. Therefore, we derive an analytical solution for the icicle tip and use it to correct the level set simulation. The results appear to be in agreement with experimental data. We also present a physically-based technique for modeling ripples along the ice surface that alleviates the need to explicitly track small-scale geometry. To our knowledge, our approach is the most complete model available, and produces complex visual phenomena that no previous method has been able to capture.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Theodore Kim: colleagues
David Adalsteinsson: colleagues
Ming C. Lin: colleagues