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MARC 21

Mesh Generation and Adaptation: Cutting-Edge Techniques /
Tag Description
020$a9783030925406$9978-3-030-92540-6
082$a519$223
099$aOnline resource: Springer
245$aMesh Generation and Adaptation$h EBook$bCutting-Edge Techniques /$cedited by Rubén Sevilla, Simona Perotto, Kenneth Morgan.
250$a1st ed. 2022.
260$aCham :$bSpringer International Publishing :$bImprint: Springer,$c2022.
300$aX, 327 p. 193 illus., 159 illus. in color.$bonline resource.
336$atext$btxt$2rdacontent
337$acomputer$bc$2rdamedia
338$aonline resource$bcr$2rdacarrier
440$aSEMA SIMAI Springer Series,$x2199-305X ;$v30
505$a1 Carolyn Woeber, Advances in H-P Mesh Adaptation for Finite Element Methods -- 2 Chiara Nardoni, Remeshing techniques in shape and topology optimization -- 3 Dimitrios Papadimitrakis, Building direction fields on the medial object to generate 3D domain decompositions for hexahedral meshing -- 4 Franck Ledoux, Interecode hexahedral meshing from Eulerian to Lagrangian simulations -- 5 Jean-Francois Remacle, A robust approach for mesh generation of surfaces with irregular/singular parametrizations.6 Jens Lang, Sample Adaptive Multilevel Stochastic Collocation Schemes in Uncertainty Quantification of Gas Transport in Networks -- 7 Jessica Zhang, Hexahedral dominant mesh generation and spline modeling for isogeometric analysis -- 8 Juan José Ródenas, Mesh adaptivity in the framework of the Cartesian grid finite element method, cgFEM -- 9 Mario Ricchiuto, h- and r-adaptation on simplicial meshes: implementation and applications -- 10 Onkar Sahni, Geometry and Adaptive Mesh Update Procedures for Ballistics Simulations -- 11 Per-Olof Persson, HOIST: High-Order Implicit Shock Tracking using an optimization-based discontinuous Galerkin method -- 12 Rainald Lohner, Breakthrough ‘workarounds’ in unstructured mesh generation -- 13 Simone Appella, An adaptive moving mesh method with conservative interpolation based on local projection -- 14 Suzanne Shontz, Global optimization strategies for automated edge grid generation.
520$aThe developments in mesh generation are usually driven by the needs of new applications and/or novel algorithms. The last decade has seen a renewed interest in mesh generation and adaptation by the computational engineering community, due to the challenges introduced by complex industrial problems. Another common challenge is the need to handle complex geometries. Nowadays, it is becoming obvious that geometry should be persistent throughout the whole simulation process. Several methodologies that can carry the geometric information throughout the simulation stage are available, but due to the novelty of these methods, the generation of suitable meshes for these techniques is still the main obstacle for the industrial uptake of this technology. This book will cover different aspects of mesh generation and adaptation, with particular emphasis on cutting-edge mesh generation techniques for advanced discretisation methods and complex geometries.
533$a Digital reproduction.-
533$b Cham :
533$c Springer International Publishing,
533$d 2022. -
533$nMode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format.
538$aOnline access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
700$aSevilla, Rubén.$eeditor.$4edt$4http://id.loc.gov/vocabulary/relators/edt
700$aPerotto, Simona.$eeditor.$4edt$4http://id.loc.gov/vocabulary/relators/edt
700$aMorgan, Kenneth.$eeditor.$4edt$4http://id.loc.gov/vocabulary/relators/edt
710$aSpringerLink (Online service)
830$aSEMA SIMAI Springer Series,$x2199-305X ;$v30
856$uhttps://doi.org/10.1007/978-3-030-92540-6
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