Published December 2018 | Version v1
Journal article

Generalised primal-dual grids for unstructured co-volume schemes

  • 1. NASA Goddard Institute for Space Studies, 2880 Broadway, New York City, NY 10025 (United States)
  • 2. Center for Climate Systems Research, Columbia University, New York City, NY 10025 (United States)

Description

Highlights: • New approach for the construction of staggered unstructured computational grids. • Use of Regular-Power tessellations to define optimal staggered orthogonal meshes. • Development of new methods for the optimisation of Regular-Power structures. • Results confirm Regular-Power approach is superior to Delaunay–Voronoi methods. • Open-source implementation provided in the JIGSAW meshing library. The generation of high-quality staggered unstructured grids is considered, leading to the development of a new optimisation-based strategy designed to construct weighted 'Regular-Power' tessellations appropriate for co-volume type numerical discretisation techniques. This new framework aims to extend the conventional Delaunay–Voronoi primal-dual structure; seeking to assemble generalised orthogonal tessellations with enhanced geometric quality. The construction of these grids is motivated by the desire to improve the performance and accuracy of numerical methods based on unstructured co-volume type schemes, including various staggered grid techniques for the simulation of fluid dynamics and hyperbolic transport. In this study, a new hybrid optimisation strategy is proposed; seeking to optimise the geometry, topology and weights associated with general, two-dimensional Regular-Power tessellations using a combination of gradient-ascent and energy-based techniques. The performance of this new method is tested experimentally, with a range of complex, multi-resolution primal-dual grids generated for various coastal and regional ocean modelling applications.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.jcp.2018.07.025

Additional details

Identifiers

DOI
10.1016/j.jcp.2018.07.025;
PII
S0021999118304868;

Publishing Information

Journal Title
Journal of Computational Physics (Print)
Journal Volume
375
Journal Page Range
p. 155-176
ISSN
0021-9991
CODEN
JCTPAH

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
52118764
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
ACCURACY; FLUID MECHANICS; GEOMETRY; MESH GENERATION; OPTIMIZATION; PERFORMANCE; SIMULATION; TOPOLOGY
Descriptors DEC
MATHEMATICS; MECHANICS

Optional Information

Copyright
Copyright (c) 2018 Elsevier Inc. All rights reserved.