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A fast weakly intrusive multiscale method in explicit dynamics
Author(s) -
Bettinotti Omar,
Allix Olivier,
Perego Umberto,
Oancea Victor,
Malherbe Benoît
Publication year - 2014
Publication title -
international journal for numerical methods in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.421
H-Index - 168
eISSN - 1097-0207
pISSN - 0029-5981
DOI - 10.1002/nme.4750
Subject(s) - robustness (evolution) , computer science , inertia , computation , operator (biology) , mathematical optimization , rate of convergence , iterative method , property (philosophy) , convergence (economics) , algorithm , mathematics , key (lock) , biochemistry , chemistry , physics , philosophy , computer security , epistemology , classical mechanics , repressor , transcription factor , economics , gene , economic growth
SUMMARY This paper presents new developments on a weakly intrusive approach for the simplified implementation of space and time multiscale methods within an explicit dynamics software. The ‘substitution’ method proposed in previous works allows to take advantage of a global coarse model, typically used in an industrial context, running separate, refined in space and in time, local analyses only where needed. The proposed technique is iterative, but the explicit character of the method allows to perform the global computation only once per global time step, while a repeated solution is required for the small local problems only. Nevertheless, a desirable goal is to reach convergence with a reduced number of iterations. To this purpose, we propose here a new iterative algorithm based on an improved interface inertia operator. The new operator exploits a combined property of velocity Hermite time interpolation on the interface and of the central difference integration scheme, allowing the consistent upscaling of interface inertia contributions from the lower scale. This property is exploited to construct an improved mass matrix operator for the interface coupling, allowing to significantly enhance the convergence rate. The efficiency and robustness of the procedure are demonstrated through several examples of growing complexity. Copyright © 2014 John Wiley & Sons, Ltd.
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