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Volume 31 Issue 11
Nov.  2005
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Journal of Beijing University of Aeronautics and Astronautics  > 2005  >  31(11): 1185-1189.
Xie Guanghui, Sun Junhua, Yang Zhen, et al. 3D data registration method for vision measurement[J]. Journal of Beijing University of Aeronautics and Astronautics, 2009, 35(7): 877-881. (in Chinese)
Citation: Li Jigang, Yang Qin, Meng Xianhai, et al. Surface mesh generation for surface models by 2D conforming delaunay triangulation[J]. Journal of Beijing University of Aeronautics and Astronautics, 2005, 31(11): 1185-1189. (in Chinese)
shu

Surface mesh generation for surface models by 2D conforming delaunay triangulation

  • 1.

    School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

  • 2. School of Computer Science and Technology, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

  • Received Date: 30 Jul 2004
  • Publish Date: 30 Nov 2005
    Abstract
  • An approach to the generation of unstructured surface meshes for surface models was presented. The only assumption is that each patch of input surface model can be treated as a single-valued function by properly specifying the projection plane. To mesh a patch of the surface model, 2D conforming Delaunay triangulation was employed on the corresponding projection plane followed by interpolating the vertices of mesh. Because of adopting cooperate-triangulation strategy, the generated surface mesh was matched at common boundary although the mesh of each patch was generated separately. Compared with advancing-front method,boundary discretization need not to be performed in advanced, the same effect was achieved when the boundary is recovered by means of boundary subdivision scheme in the conforming Delaunay triangulation procedure. By assigning element size distribution function reasonably in conforming Delaunay triangulation procedure, the generated surface mesh was a nice approximation of the underlying surface model, and self-adaptive surface mesh can be achieved. The capability of the method is demonstrated for several 3D surface models.

     

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  • [1] Shewchuk J R. Delaunay refinement algorithms for triangular mesh generation[J]. Computational Geometry:Theory and Applications,2002,22(1):21~74 [2] Borouchaki H, Laug P, George P L. Parametric surface meshing using a combined advancing-front generalized Delaunay approach[J].International Journal for Numerical Methods in Engineering, 2000, 49(2):233~259 [3] Yasushi Ito,Kazuhiro Nakahashi. Surface triangulation for non-trimmed surface models. AIAA-2001-2601,2001 [4] Kwak S, Pozrikidis C. Adaptive triangulation of evolving, closed, or open surfaces by the advancing-front method[J].Journal of Computational Physics,1998,145(1):61~88 [5] Keisuke Inoue,Takayuki Itoh, Atsushi Yamada, et al. Face clustering of a large-scale CAD model for surface mesh generation[J].Computer Aided-Design,2001,33(3):251~261 [6] Laug P, Borouchaki H. Curve linearization and discretization for meshing composite parametric surfaces[J]. Communications in Numerical Methods in Engineering, 2004,20(11):869~876 [7] Roque Corral. Surface mesh generation by means of steiner triangulations. AIAA-98-3013, 1998 [8] Ruppert Jim. A delaunay refinement algorithm for quality 2-dimensional mesh generation[J]. Journal of Algorithms, 1995,18(3):548~585 [9] 杨 钦. 限定Delaunay三角剖分. 北京:北京航空航天大学计算机学院,2001 Yang Qin. Conforming Delaunay triangulation. Beijing:School of Computer Science and Technology, Beijing University of Aeronautics and Astronautics,2001(in Chinese)
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