Journal of Computational and Applied Mathematics2022,Vol.40721.DOI:10.1016/j.cam.2021.113997

An anisotropic adaptive method for the numerical approximation of orthogonal maps

Caboussat, Alexandre Gourzoulidis, Dimitrios Picasso, Marco
Journal of Computational and Applied Mathematics2022,Vol.40721.DOI:10.1016/j.cam.2021.113997

An anisotropic adaptive method for the numerical approximation of orthogonal maps

Caboussat, Alexandre 1Gourzoulidis, Dimitrios 1Picasso, Marco2
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作者信息

  • 1. Univ Appl Sci & Arts Western Switzerland HES SO
  • 2. Ecole Polytech Fed Lausanne
  • 折叠

Abstract

Orthogonal maps are two-dimensional mappings that are solutions of the so-called origami problem obtained when folding a paper. These mappings are piecewise linear, and the discontinuities of their gradient form a singular set composed of straight lines representing the folding edges. The proposed algorithm relies on the minimization of a variational principle discussed in Caboussat et al. (2019). A splitting algorithm for the corresponding flow problem derived from the first-order optimality conditions alternates between local nonlinear problems and linear elliptic variational problems at each time step. Anisotropic adaptive techniques allow to obtain refined triangulations near the folding edges while keeping the number of vertices as low as possible. Numerical experiments validate the accuracy and efficiency of the adaptive method in various situations. Appropriate convergence properties are exhibited, and solutions with sharp edges are recovered. (C)& nbsp;2021 The Author(s). Published by Elsevier B.V.& nbsp;

Key words

Orthogonal maps/Eikonal equation/Origami/Operator splitting/Anisotropic adaptive mesh refinement/OPERATOR SPLITTING METHOD/ERROR ESTIMATOR/EQUATIONS/ORIGAMI

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出版年

2022
Journal of Computational and Applied Mathematics

Journal of Computational and Applied Mathematics

EISCI
ISSN:0377-0427
参考文献量42
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