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Tetrahedral mesh generation using Delaunay refinement with non-standard quality measures. (English) Zbl 1242.65257
Summary: This paper studies the practical performance of Delaunay refinement tetrahedral mesh generation algorithms. By using non-standard quality measures to drive refinement, we show that sliver tetrahedra can be eliminated from constrained Delaunay tetrahedralizations solely by refinement. Despite the fact that quality guarantees cannot be proven, the algorithm can consistently generate meshes with dihedral angles between \(18^{circ}\) and \(154^{\deg }\). Using a fairer quality measure targeting every type of bad tetrahedron, dihedral angles between \(14^{\deg }\) and \(154^{\deg }\) can be obtained. The number of vertices inserted to achieve quality meshes is comparable to that needed when driving refinement with the standard circumradius-to-shortest-edge ratio. We also study the use of mesh improvement techniques on Delaunay refined meshes and observe that the minimum dihedral angle can generally be pushed above \(20^{\deg }\), regardless of the quality measure used to drive refinement. The algorithm presented in this paper can accept geometric domains whose boundaries are piecewise smooth.

65N50 Mesh generation, refinement, and adaptive methods for boundary value problems involving PDEs
65M50 Mesh generation, refinement, and adaptive methods for the numerical solution of initial value and initial-boundary value problems involving PDEs
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