2020
DOI: 10.1016/j.jcp.2019.109097
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A surface moving mesh method based on equidistribution and alignment

Abstract: A surface moving mesh method is presented for general surfaces with or without explicit parameterization. The method can be viewed as a nontrivial extension of the moving mesh partial differential equation method that has been developed for bulk meshes and demonstrated to work well for various applications. The main challenges in the development of surface mesh movement come from the fact that the Jacobian matrix of the affine mapping between the reference element and any simplicial surface element is not squa… Show more

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Cited by 3 publications
(1 citation statement)
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“…Unfortunately, the Fourier-type approach in the present work is not applicable to the non-periodic problem, while the Chebyshev series and its coefficients can serve as analogous tools for open planar curves in general. On the other hand, efficient representations of compact surfaces are fundamental in boundary integral simulations of non-axisymmetric droplets, whereas effective re-distribution techniques are limited to objects away from singularities [5,6,11] or nearly singular surfaces in function representations [29]. Thus, there are many topics relevant to the present work, and we hope to address these problems in future works.…”
Section: Discussionmentioning
confidence: 99%
“…Unfortunately, the Fourier-type approach in the present work is not applicable to the non-periodic problem, while the Chebyshev series and its coefficients can serve as analogous tools for open planar curves in general. On the other hand, efficient representations of compact surfaces are fundamental in boundary integral simulations of non-axisymmetric droplets, whereas effective re-distribution techniques are limited to objects away from singularities [5,6,11] or nearly singular surfaces in function representations [29]. Thus, there are many topics relevant to the present work, and we hope to address these problems in future works.…”
Section: Discussionmentioning
confidence: 99%