Deep material networks for efficient scale-bridging in thermomechanical simulations of solids
Download or Read eBook Deep material networks for efficient scale-bridging in thermomechanical simulations of solids PDF written by Gajek, Sebastian and published by KIT Scientific Publishing. This book was released on 2023-08-25 with total page 326 pages. Available in PDF, EPUB and Kindle.
| Author | : Gajek, Sebastian |
| Publisher | : KIT Scientific Publishing |
| Total Pages | : 326 |
| Release | : 2023-08-25 |
| ISBN-10 | : 9783731512783 |
| ISBN-13 | : 3731512785 |
| Rating | : 4/5 (83 Downloads) |
Book Synopsis Deep material networks for efficient scale-bridging in thermomechanical simulations of solids by : Gajek, Sebastian
Book excerpt: 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.
