Davide D’Angella
Technische Universität München
Composite numberAlgorithmFinite element methodOverlayBenchmark (computing)Artificial intelligenceComposite materialPreconditionerDomain (software engineering)Materials scienceRange (mathematics)Bézier curveIsogeometric analysisCell methodMathematicsComputer scienceComputationComputational scienceScalabilityNumerical analysisTissue engineeringSpline (mathematics)TrimmingBasis functionComputational mechanicsDiscretization
17Publications
5H-index
191Citations
Publications 17
Newest
#1Jörg SchröderH-Index: 32
#2Thomas Wick (Leibniz University of Hanover)H-Index: 24
Last. Davide D’Angella (TUM: Technische Universität München)H-Index: 5
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In this contribution we provide benchmark problems in the field of computational solid mechanics. In detail, we address classical fields as elasticity, incompressibility, material interfaces, thin structures and plasticity at finite deformations. For this we describe explicit setups of the benchmarks and introduce the numerical schemes. For the computations the various participating groups use different (mixed) Galerkin finite element and isogeometric analysis formulations. Some programming code...
4 CitationsSource
#1Davide D’Angella (TUM: Technische Universität München)H-Index: 5
#2Alessandro Reali (UNIPV: University of Pavia)H-Index: 45
Abstract The main motivation for hierarchical B-Splines in Isogeometric Analysis is to perform a local refinement that is globally not a tensor product. Compared to standard knot insertion, this allows to increase refinement locality. Moreover, the implementation of hierarchical refinement on existing codes can be facilitated by Bezier extraction. This approach was initially developed for unrefined patches and then extended to local refinement. In case of B-Spline patches that are not locally re...
Source
#1Luca CoradelloH-Index: 1
#1Luca CoradelloH-Index: 3
Last. Alessandro RealiH-Index: 45
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This work focuses on the study of several computational challenges arising when trimmed surfaces are directly employed for the isogeometric analysis of Kirchhoff–Love shells. To cope with these issues and to resolve mechanical and/or geometrical features of interest, we exploit the local refinement capabilities of hierarchical B-splines. In particular, we show numerically that local refinement is suited to effectively impose Dirichlet-type boundary conditions in a weak sense, where this easily a...
7 CitationsSource
#1Stefan Kollmannsberger (TUM: Technische Universität München)H-Index: 22
#2Davide D’Angella (TUM: Technische Universität München)H-Index: 5
Last. Andreas SchröderH-Index: 13
view all 8 authors...
4 CitationsSource
#1J. Jomo (TUM: Technische Universität München)H-Index: 4
#2F. de Prenter (TU/e: Eindhoven University of Technology)H-Index: 4
Last. Ernst Rank (TUM: Technische Universität München)H-Index: 60
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Abstract The finite cell method is a flexible discretization technique for numerical analysis on domains with complex geometries. By using a non-boundary conforming computational domain that can be easily meshed, automatized computations on a wide range of geometrical models can be performed. The application of the finite cell method, and other immersed methods, to large real-life and industrial problems is often limited due to the conditioning problems associated with these methods. These condi...
21 CitationsSource
#1J. JomoH-Index: 4
#2Frits de PrenterH-Index: 2
Last. Ernst RankH-Index: 60
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The finite cell method is a highly flexible discretization technique for numerical analysis on domains with complex geometries. By using a non-boundary conforming computational domain that can be easily meshed, automatized computations on a wide range of geometrical models can be performed. Application of the finite cell method, and other immersed methods, to large real-life and industrial problems is often limited due to the conditioning problems associated with these methods. These conditionin...
2 Citations
#2Massimo CarraturoH-Index: 7
Last. Ernst RankH-Index: 60
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The presentation addresses the numerical modelling of the benchmark AMB2018-02 where we take upon the challenge of verifying the melt pool geometry (CHAL-AMB2018-02-MP) and the cooling rate (CHAL-AMB2018-02-CR). We employ a variant of the numerical model presented in [1] and extend it to hierarchical B-Splines [2]. The principal idea is to use high-order refinements to resolve the region around the boundary of the weld pool with high accuracy. The numerical effort in parts of the domain remote t...
#2A. ÖzcanH-Index: 4
Last. Ernst RankH-Index: 60
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The numerical simulation of metal additive manufacturing bears numerous computational challenges. It is a thermo-mechanically coupled process in which material coefficients depend nonlinearly on the state of the material and the temperature. The energy input is highly localized which leads to strong temperature gradients and rapid changes of state in the material on growing computational domains. The large span of the involved spatial and the temporal scales call for highly efficient computation...
#1F. de PrenterH-Index: 4
#2J. JomoH-Index: 4
Last. Ernst RankH-Index: 60
view all 8 authors...
#1Davide D’AngellaH-Index: 5
#2Luca CoradelloH-Index: 1
Last. Alessandro RealiH-Index: 45
view all 7 authors...