Conformal Solid T-spline Construction from Boundary T-spline Representations

Abstract

To achieve a tight integration of design and analysis conformal solid T-spline construction with the input boundary spline representation preserved is desirable. However to the best of our knowledge, this is still an open problem. In this paper, we provide its first solution. The input boundary T-spline surface has genus-zero topology and only contains eight extraordinary nodes, with an isoparametric line connecting each pair. One cube is adopted as the parametric domain for the solid T-spline. Starting from the cube with all the nodes on the input surface as T-junctions, we adaptively subdivide the domain based on the octree structure until each face or edge contains at most one face T-junction or one edge T-junction. Next, we insert two boundary layers between the input T-spline surface and the boundary of the subdivision result. Finally, knot intervals are calculated from the T-mesh and the solid T-spline is constructed. The obtained T-spline is conformal to the input T-spline surface with exactly the same boundary representation and continuity. For the interior region, the continuity is C2 everywhere except for the local region surrounding irregular nodes. Several examples are presented to demonstrate the performance of the algorithm.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2012
Accession Number
ADA588397

Entities

People

  • Thomas J.R. Hughes
  • Wenyan Wang
  • Yongjie Zhang

Organizations

  • University of Texas at Austin

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Boundaries
  • Boundary Layer
  • Computer-Aided Design
  • Construction
  • Continuity
  • Engineering
  • Geometry
  • Intervals
  • Layers
  • Mechanical Engineering
  • Propeller Blades
  • Propeller Shafts
  • Propellers
  • Topology
  • Universities

Fields of Study

  • Mathematics

Readers

  • Computational Fluid Dynamics (CFD)
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Graph Algorithms and Convex Optimization.