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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 94
Edited by: B.H.V. Topping, J.M. Adam, F.J. Pallarés, R. Bru and M.L. Romero
Paper 57

Advanced Numerical Methods in Mesh Generation and Mesh Adaptation

A. Agouzal1, A. Danilov2, K. Lipnikov3 and Yu. Vassilevski2

1University of Lyon 1, France
2Institute of Numerical Mathematics, Moscow, Russia
3Los Alamos National Laboratory, New Mexico, United States of America

Full Bibliographic Reference for this paper
A. Agouzal, A. Danilov, K. Lipnikov, Yu. Vassilevski, "Advanced Numerical Methods in Mesh Generation and Mesh Adaptation", in B.H.V. Topping, J.M. Adam, F.J. Pallarés, R. Bru, M.L. Romero, (Editors), "Proceedings of the Seventh International Conference on Engineering Computational Technology", Civil-Comp Press, Stirlingshire, UK, Paper 57, 2010. doi:10.4203/ccp.94.57
Keywords: advancing front technique, Delaunay triangulation, mesh adaptation, tensor metric, quasi-optimal mesh.

Numerical solution of partial differential equations requires appropriate meshes, efficient solvers and robust and reliable error estimates. Generation of high-quality meshes for complex engineering models is a non-trivial task. This task is made more difficult when the mesh has to be adapted to a problem solution. This article is focused on a synergistic approach to the mesh generation and mesh adaptation, where best properties of various mesh generation methods are combined to build efficiently simplicial meshes.

First, the advancing front technique (AFT) is combined with the incremental Delaunay triangulation (DT) to build an initial mesh [1]. Second, the metric-based mesh adaptation (MBA) method [2] is employed to improve quality of the generated mesh and, or to adapt it to a problem solution. We demonstrate with numerical experiments that combination of all three methods is required for robust meshing of complex engineering models.

The key to successful mesh generation is the high-quality of the triangles in the initial front. We use a black-box technique to improve surface meshes exported from an unattainable CAD system. The initial surface mesh is refined into a shape-regular triangulation which approximates the boundary with the same accuracy as the CAD mesh. The DT method adds robustness to the AFT. The resulting mesh is topologically correct but may contain a few slivers. The MBA uses seven local operations to modify the mesh topology. It improves significantly the mesh quality.

The MBA method is also used to adapt the mesh to a problem solution to minimize computational resources required for solving the problem. The MBA has a solid theoretical background [2]. In the first two experiments, we consider the convection-diffusion and elasticity problems. We demonstrate the optimal reduction rate of the discretization error on a sequence of adaptive strongly anisotropic meshes. The key element of the MBA method is construction of a tensor metric from hierarchical edge-based error estimates. We conclude that the quasi-optimal mesh must be quasi-uniform in this metric.

All numerical experiments are based on the publicly available Ani3D package [3], the collection of advanced numerical instruments.

A. Danilov, "Unstructured tetrahedral mesh generation technology", Computational Mathematics and Mathematical Physics, 50, 139-156, 2010. doi:10.1134/S0965542510010124
A. Agouzal, K. Lipnikov, Yu. Vassilevski, "Hessian-free metric-based mesh adaptation via geometry of interpolation error", Computational Mathematics and Mathematical Physics, 50, 124-138, 2010. doi:10.1134/S0965542510010112
"Advanced Numerical Instruments 3D", URL

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