Deep material networks for efficient scale-bridging in thermomechanical simulations of solids
In: Schriftenreihe Kontinuumsmechanik im Maschinenbau; (2023)
Online
E-Book
- 326
We investigate deep material networks (DMN). We lay the mathematical foundation of DMNs and present a novel DMN formulation, which is characterized by a reduced number of degrees of freedom. We present a efficient solution technique for nonlinear DMNs to accelerate complex two-scale simulations with minimal computational effort. A new interpolation technique is presented enabling the consideration of fluctuating microstructure characteristics in macroscopic simulations.
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Deep material networks for efficient scale-bridging in thermomechanical simulations of solids
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Autor/in / Beteiligte Person: | Gajek, Sebastian |
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Quelle: | Schriftenreihe Kontinuumsmechanik im Maschinenbau; (2023) |
Veröffentlichung: | KIT Scientific Publishing, 2023 |
Medientyp: | E-Book |
Umfang: | 326 |
ISBN: | 978-3-7315-1278-3 (print) |
DOI: | 10.5445/KSP/1000155688 |
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