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Simultaneous Aligning and Smoothing of Surface Triangulations

Escobar, J.M., R. Montenegro, E. Rodr¥iguez, and G. Montero

Proceedings, 17th International Meshing Roundtable, Springer-Verlag, pp.333-350, October 12-15 2008

IMR
PROCEEDINGS

17th International Meshing Roundtable
Pittsburgh, Pennsylvania, U.S.A.
October 12-15, 2008

Department of Applied Mathematics, Stony Brook University, Stony Brook, NY 11794
College of Computing, Georgia Institute of Technology, Atlanta, GA 30332
jiao@ams.sunysb.edu

Abstract
In this work we develop a procedure to deform a given surface triangulation to obtain its alignment with interior curves. At present, we consider that these curves are defined by the orthogonal projection from plane cubic splines to the initial surface triangulation. For example, the curves can represent interfaces between different materials or boundary conditions, internal boundaries or feature lines. Another possibility of this procedure is the adaption of a reference mesh to changing curves in the course of an evolutionary process (for example, aligning of mesh nodes and edges to moving shocks in compressible flows). Specifically, we propose a new method that moves the nodes of the mesh, maintaining its topology, in order to achieve two objectives simultaneously: the piecewise approximation of the curves by edges of the surface triangulation and the optimization of the resulting mesh. We will designate this procedure as projecting/smoothing method and it is based on the smoothing technique that we have introduced for surface triangulations in previous works. The mesh quality improvement is obtained by an iterative process where each free node is moved to a new position that minimizes a certain objective function. The minimization process is done on a surface projection plane attending to the surface piece-wise approximation and to an algebraic quality measure (mean ratio) of the set of triangles that are connected to the free node. So, the 3-D local projecting/smoothing problem is reduced to a 2-D optimization problem. Several applications of this method are presented.

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