Newton Linearization of the Curvature Operator in Structured Grid Generation with Sample Solutions

Elliptic grid generation equations based on the Laplacian operator have the well-known property of clustering the mesh near convex boundaries and declustering it near concave boundaries. In prior work, a new differential operator was derived and presented to address this issue. This new operator ret...

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Main Authors: Pat Piperni, Maahi M. Talukder
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:International Journal of Mathematics and Mathematical Sciences
Online Access:http://dx.doi.org/10.1155/2022/7266801
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author Pat Piperni
Maahi M. Talukder
author_facet Pat Piperni
Maahi M. Talukder
author_sort Pat Piperni
collection DOAJ
description Elliptic grid generation equations based on the Laplacian operator have the well-known property of clustering the mesh near convex boundaries and declustering it near concave boundaries. In prior work, a new differential operator was derived and presented to address this issue. This new operator retains the strong smoothing properties of the Laplacian without the latter’s adverse curvature effects. However, the new operator exhibits slower convergence properties than the Laplacian, which can lead to increased turnaround times and in some cases preclude the achievement of convergence to machine accuracy. In the work presented here, a Newton linearization of the new operator is presented, with the objective of achieving more robust convergence properties. Sample solutions are presented by evaluating a number of solvers and preconditioners and assessing the convergence properties of the solution process. The efficiency of each solution method is demonstrated with applications to two-dimensional airfoil meshes.
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publishDate 2022-01-01
publisher Wiley
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series International Journal of Mathematics and Mathematical Sciences
spelling doaj-art-b4ddf73c4fb44e0f81114bcb5f70e65a2025-02-03T06:12:25ZengWileyInternational Journal of Mathematics and Mathematical Sciences1687-04252022-01-01202210.1155/2022/7266801Newton Linearization of the Curvature Operator in Structured Grid Generation with Sample SolutionsPat Piperni0Maahi M. Talukder1Clarkson UniversityClarkson UniversityElliptic grid generation equations based on the Laplacian operator have the well-known property of clustering the mesh near convex boundaries and declustering it near concave boundaries. In prior work, a new differential operator was derived and presented to address this issue. This new operator retains the strong smoothing properties of the Laplacian without the latter’s adverse curvature effects. However, the new operator exhibits slower convergence properties than the Laplacian, which can lead to increased turnaround times and in some cases preclude the achievement of convergence to machine accuracy. In the work presented here, a Newton linearization of the new operator is presented, with the objective of achieving more robust convergence properties. Sample solutions are presented by evaluating a number of solvers and preconditioners and assessing the convergence properties of the solution process. The efficiency of each solution method is demonstrated with applications to two-dimensional airfoil meshes.http://dx.doi.org/10.1155/2022/7266801
spellingShingle Pat Piperni
Maahi M. Talukder
Newton Linearization of the Curvature Operator in Structured Grid Generation with Sample Solutions
International Journal of Mathematics and Mathematical Sciences
title Newton Linearization of the Curvature Operator in Structured Grid Generation with Sample Solutions
title_full Newton Linearization of the Curvature Operator in Structured Grid Generation with Sample Solutions
title_fullStr Newton Linearization of the Curvature Operator in Structured Grid Generation with Sample Solutions
title_full_unstemmed Newton Linearization of the Curvature Operator in Structured Grid Generation with Sample Solutions
title_short Newton Linearization of the Curvature Operator in Structured Grid Generation with Sample Solutions
title_sort newton linearization of the curvature operator in structured grid generation with sample solutions
url http://dx.doi.org/10.1155/2022/7266801
work_keys_str_mv AT patpiperni newtonlinearizationofthecurvatureoperatorinstructuredgridgenerationwithsamplesolutions
AT maahimtalukder newtonlinearizationofthecurvatureoperatorinstructuredgridgenerationwithsamplesolutions