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Finite element procedures for computing normals and mean curvature on triangulated surfaces and their use for mesh refinement
Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design, JTH, Produktionsutveckling.
Jönköping University, School of Engineering, JTH, Materials and Manufacturing.ORCID iD: 0000-0001-7352-1550
Department of Mathematics and Mathematical Statistics, Umeå University.
2020 (English)In: Computer Methods in Applied Mechanics and Engineering, ISSN 0045-7825, E-ISSN 1879-2138, Vol. 372, article id 113445Article in journal (Refereed) Published
Abstract [en]

In this paper we consider finite element approaches to computing the mean curvature vector and normal at the vertices of piecewise linear triangulated surfaces. In particular, we adopt a stabilization technique which allows for first order L2-convergence of the mean curvature vector and apply this stabilization technique also to the computation of continuous, recovered, normals using L2-projections of the piecewise constant face normals. Finally, we use our projected normals to define an adaptive mesh refinement approach to geometry resolution where we also employ spline techniques to reconstruct the surface before refinement. We compare our results to previously proposed approaches.

Place, publisher, year, edition, pages
Elsevier, 2020. Vol. 372, article id 113445
Keywords [en]
Continuous interior penalty, Discrete curvature, Finite element method, Projection method, Piecewise linear techniques, Stabilization, Adaptive mesh refinement, Finite element procedure, Finite-element approach, Mean curvature vector, Piece-wise constants, Piecewise linear, Stabilization techniques, Triangulated surfaces, Mesh generation
National Category
Mechanical Engineering Computer Engineering
Identifiers
URN: urn:nbn:se:hj:diva-50787DOI: 10.1016/j.cma.2020.113445ISI: 000592537500002Scopus ID: 2-s2.0-85091583161OAI: oai:DiVA.org:hj-50787DiVA, id: diva2:1473987
Funder
Swedish Research Council, 2011-4992, 2013–4708Swedish Foundation for Strategic Research , AM13-0029Available from: 2020-10-07 Created: 2020-10-07 Last updated: 2020-12-10Bibliographically approved

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Cenanovic, MirzaHansbo, Peter

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