Deep Material Networks For Efficient Scale Bridging In Thermomechanical Simulations Of Solids
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Deep material networks for efficient scale-bridging in thermomechanical simulations of solids
Author | : Gajek, Sebastian |
Publisher | : KIT Scientific Publishing |
Total Pages | : 326 |
Release | : 2023-08-25 |
Genre | : |
ISBN | : 3731512785 |
Download Deep material networks for efficient scale-bridging in thermomechanical simulations of solids Book in PDF, Epub and Kindle
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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