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.
DETAILS
Deep material networks for efficient scale-bridging in thermomechanical simulations of solids
Gajek, Sebastian
Kartoniert, 326 S.
graph. Darst.
Sprache: Englisch
210 mm
KIT Scientific Publishing (2023)
Gewicht: 600 g
ISBN-13: 978-3-7315-1278-3
Titelnr.: 96773920