Please use this identifier to cite or link to this item:
http://dx.doi.org/10.25673/38744
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DC Field | Value | Language |
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dc.contributor.author | Evrard, Fabien | - |
dc.contributor.author | Denner, Fabian | - |
dc.contributor.author | Wachem, Berend | - |
dc.date.accessioned | 2021-10-13T08:20:45Z | - |
dc.date.available | 2021-10-13T08:20:45Z | - |
dc.date.issued | 2020 | - |
dc.date.submitted | 2020 | - |
dc.identifier.uri | https://opendata.uni-halle.de//handle/1981185920/38990 | - |
dc.identifier.uri | http://dx.doi.org/10.25673/38744 | - |
dc.description.abstract | This paper proposes a height-function algorithm to estimate the curvature of two-dimensional curves and three-dimensional surfaces that are defined implicitly on two-and three-dimensional non-uniform Cartesian grids. It relies on the reconstruction of local heights, onto which polynomial height-functions are fitted. The algorithm produces curva-ture estimates of order N−1anywhere in a stencil of (N+1)d−1heights computed from the volume-fraction data available on a d-dimensional non-uniform Cartesian grid. These estimates are of order Nat the centre of the stencil when it is symmetric about its main axis. This is confirmed by a comprehensive convergence analysis conducted on the errors associated with the application of the algorithm to a fabricated test-curve and test-surface. | eng |
dc.description.sponsorship | OVGU-Publikationsfonds 2020 | - |
dc.language.iso | eng | - |
dc.relation.ispartof | https://www.sciencedirect.com/journal/journal-of-computational-physics-x | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | - |
dc.subject | Curvature | eng |
dc.subject | Volume-of-fluid | eng |
dc.subject | Height-function | eng |
dc.subject | Non-uniform grid | eng |
dc.subject | Arbitrary order | eng |
dc.subject.ddc | 660 | - |
dc.title | Height-function curvature estimation with arbitrary order on non-uniform Cartesian grids | eng |
dc.type | Article | - |
dc.identifier.urn | urn:nbn:de:gbv:ma9:1-1981185920-389908 | - |
local.versionType | publishedVersion | - |
local.bibliographicCitation.journaltitle | Journal of computational physics: X | - |
local.bibliographicCitation.volume | 7 | - |
local.bibliographicCitation.issue | 2020 | - |
local.bibliographicCitation.pagestart | 1 | - |
local.bibliographicCitation.pageend | 15 | - |
local.bibliographicCitation.publishername | Elsevier | - |
local.bibliographicCitation.publisherplace | Amsterdam | - |
local.bibliographicCitation.doi | 10.1016/j.jcpx.2020.100060 | - |
local.openaccess | true | - |
dc.identifier.ppn | 176735701X | - |
local.bibliographicCitation.year | 2020 | - |
cbs.sru.importDate | 2021-10-13T08:14:41Z | - |
local.bibliographicCitation | Enthalten in Journal of computational physics: X - Amsterdam : Elsevier, 2019 | - |
local.accessrights.dnb | free | - |
Appears in Collections: | Fakultät für Verfahrens- und Systemtechnik (OA) |
Files in This Item:
File | Description | Size | Format | |
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Evrard et al._Height-function_2020.pdf | Zweitveröffentlichung | 2.59 MB | Adobe PDF | View/Open |