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Refinable tri-variate C 1 splines for box-complexes including irregular points and irregular edges
1Department of Computer & Information Science & Engineering, University of Florida.
This study introduces C1 splines over box-complexes, generalizing cubic tensor-product splines for unstructured hexahedral meshes. These splines handle irregularities by splitting polynomials, offering a refinable solution for complex geometric modeling.
Area of Science:
- Computer-Aided Design
- Geometric Modeling
- Numerical Analysis
Background:
- Traditional tensor-product splines are limited to regular grids.
- Unstructured hexahedral meshes present challenges for spline representations.
- Existing methods struggle with irregular features in complex geometries.
Purpose of the Study:
- To generalize C1 cubic tensor-product splines to unstructured hexahedral meshes (box-complexes).
- To develop a spline space that accommodates irregular mesh features.
- To ensure continuity and handle singularities in complex geometric domains.
Main Methods:
- Defined C1 splines over box-complexes, generalizing tensor-product splines.
- Utilized binary splitting of polynomial pieces to isolate mesh irregularities.
- Ensured derivative continuity across element boundaries.
- Addressed singularities at irregular features via local variable changes.
Main Results:
- The proposed splines generalize C1 cubic tensor-product splines.
- Polynomials are split in irregular regions, isolating singularities.
- Singularities are removable, allowing for a well-behaved spline space.
- The resulting spline space is refinable and contains 2^3 linearly independent functions per box.
Conclusions:
- C1 splines over box-complexes provide a robust method for geometric modeling on unstructured hexahedral meshes.
- This approach effectively handles mesh irregularities while maintaining spline continuity.
- The method offers a refinable and flexible framework for complex 3D modeling applications.
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