(Re-) Meshing using interpolative mapping and control point optimization
(Re-) Meshing using interpolative mapping and control point optimization
This work proposes a simple and fast approach for re-meshing the surfaces of smooth-featured geometries prior to CFD analysis. The aim is to improve mesh quality and thus the convergence and accuracy of the CFD analysis. The method is based on constructing an interpolant based on the geometry shape and then mapping a regular rectangular grid to the shape of the original geometry using that interpolant. Depending on the selected interpolation algorithm the process takes from less than a second to several minutes. The main interpolant discussed in this article is a Radial Basis Function with cubic spline basis, however other algorithms are also compared. The mesh can be optimized further using active (flexible) control points and optimization algorithms. A range of objective functions are discussed and demonstrated. The difference between re-interpolated and original meshes produces a metric function which is indicative of the mesh quality. It is shown that the method works for flat 2D surfaces, 3D surfaces and volumes.
305-318
Voutchkov, Ivan
16640210-6d07-49cc-aebd-28bf89c7ac27
Keane, Andy
26d7fa33-5415-4910-89d8-fb3620413def
Shahpa, Shahrokh
ced3eb5d-1211-4d7a-b539-618b16f22b4b
Bates, Ron
1a02ebfa-30e4-4570-a7b8-21006d37b01c
July 2018
Voutchkov, Ivan
16640210-6d07-49cc-aebd-28bf89c7ac27
Keane, Andy
26d7fa33-5415-4910-89d8-fb3620413def
Shahpa, Shahrokh
ced3eb5d-1211-4d7a-b539-618b16f22b4b
Bates, Ron
1a02ebfa-30e4-4570-a7b8-21006d37b01c
Voutchkov, Ivan, Keane, Andy, Shahpa, Shahrokh and Bates, Ron
(2018)
(Re-) Meshing using interpolative mapping and control point optimization.
Journal of Computational Design and Engineering, 5 (3), .
(doi:10.1016/j.jcde.2017.12.003).
Abstract
This work proposes a simple and fast approach for re-meshing the surfaces of smooth-featured geometries prior to CFD analysis. The aim is to improve mesh quality and thus the convergence and accuracy of the CFD analysis. The method is based on constructing an interpolant based on the geometry shape and then mapping a regular rectangular grid to the shape of the original geometry using that interpolant. Depending on the selected interpolation algorithm the process takes from less than a second to several minutes. The main interpolant discussed in this article is a Radial Basis Function with cubic spline basis, however other algorithms are also compared. The mesh can be optimized further using active (flexible) control points and optimization algorithms. A range of objective functions are discussed and demonstrated. The difference between re-interpolated and original meshes produces a metric function which is indicative of the mesh quality. It is shown that the method works for flat 2D surfaces, 3D surfaces and volumes.
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Submitted date: 21 September 2017
Accepted/In Press date: 14 December 2017
e-pub ahead of print date: 15 December 2017
Published date: July 2018
Identifiers
Local EPrints ID: 416679
URI: http://eprints.soton.ac.uk/id/eprint/416679
ISSN: 2288-4300
PURE UUID: 6375f48b-fbb3-456d-ac81-c35ee9e229fa
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Date deposited: 04 Jan 2018 17:30
Last modified: 16 Mar 2024 02:53
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Author:
Shahrokh Shahpa
Author:
Ron Bates
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