Deep material networks for efficient scale-bridging in thermomechanical simulations of solids
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...
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Hoofdauteur: | |
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Formaat: | Elektronisch Hoofdstuk |
Taal: | Engels |
Gepubliceerd in: |
KIT Scientific Publishing
2023
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Reeks: | Schriftenreihe Kontinuumsmechanik im Maschinenbau
26 |
Onderwerpen: | |
Online toegang: | OAPEN Library: download the publication OAPEN Library: description of the publication |
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Samenvatting: | 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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Fysieke beschrijving: | 1 electronic resource (326 p.) |
ISBN: | KSP/1000155688 |
Toegang: | Open Access |