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Subdivision-based multilevel methods for large scale engineering simulation of thin shells
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Source ACM Symposium on Solid and Physical Modeling archive
Proceedings of the seventh ACM symposium on Solid modeling and applications table of contents
Saarbrücken, Germany
POSTER SESSION: Poster Session table of contents
Pages: 265 - 272  
Year of Publication: 2002
ISBN:1-58113-506-8
Authors
Seth Green  University of Washington, Seattle, WA
George Turkiyyah  University of Washington, Seattle, WA
Duane Storti  University of Washington, Seattle, WA
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 4,   Downloads (12 Months): 33,   Citation Count: 7
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ABSTRACT

This paper presents a multilevel algorithm to accelerate the numerical solution of thin shell finite element problems de-scribed by subdivision surfaces. Subdivision surfaces have become a widely used geometric representation for general curved three dimensional boundary models and thin shells as they provide a compact and robust framework for mod-eling 3D geometry. More recently, the shape functions used in the subdivision surfaces framework have been proposed as candidates for use as finite element basis functions in the analysis and simulation of the mechanical deformation of thin shell structures. When coupled with standard solvers, however, such simulations do not scale well. Run time costs associated with high-resolution simulations (105 degrees of freedom or more) become prohibitive. The main contribution of the paper is to show that the subdivision framework can be used for accelerating such sim-ulations. Specifically the subdivision matrix is used as the intergrid information transfer operator in a multilevel pre-conditioner. The method described in the paper allows the practical simulation or a broad range of problems. Included examples show that the run time of the algorithm presented scales nearly linearly in time with problem size.


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:
Seth Green: colleagues
George Turkiyyah: colleagues
Duane Storti: colleagues