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Isogeometric high order mesh generation.

Authors :
Schneider, Teseo
Panozzo, Daniele
Zhou, Xianlian
Source :
Computer Methods in Applied Mechanics & Engineering. Dec2021, Vol. 386, pN.PAG-N.PAG. 1p.
Publication Year :
2021

Abstract

In this paper, we present a new posteriori method to generate high order curved meshes directly from linear meshes through a recently developed poly-spline isogeometric (IGA) method. Given an input structured or unstructured linear quadrilateral or hexahedral mesh, our method constructs quadratic poly-spline IGA bases for each element and ensures continuity and smoothness across neighboring elements. With these smooth IGA bases, each element can be sampled into a high order element of arbitrary order while maintaining consistently continuous and smooth interfaces between elements. Several fitting algorithms are developed to adjust the IGA control points to ensure the final mesh interpolates or approximates the initial boundary closely. Our method requires no CAD geometry of the initial mesh and guarantee C 1 smoothness in regular regions and C 0 continuity across interfaces of spline-incompatible elements. The method is compared with an elastic analogy based approach and is shown to be superior in terms of computational performance and overall mesh quality and smoothness. The current method can also be extended for higher order IGA basis construction and smooth refinement of meshes that are important for high order physics simulations. • A new isogeometric (IGA) method for posteriori generation of high order curved meshes directly from linear meshes. • The method requires no CAD geometry of the initial mesh and guarantee validity and smoothness of the generated mesh. • The method is much faster than the elastic analogy based approach and produces smoother high order meshes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00457825
Volume :
386
Database :
Academic Search Index
Journal :
Computer Methods in Applied Mechanics & Engineering
Publication Type :
Academic Journal
Accession number :
153454159
Full Text :
https://doi.org/10.1016/j.cma.2021.114104