Zobrazeno 1 - 10
of 486
pro vyhledávání: '"Böhlke, Thomas"'
We extend the laminate based framework of direct Deep Material Networks (DMNs) to treat suspensions of rigid fibers in a non-Newtonian solvent. To do so, we derive two-phase homogenization blocks that are capable of treating incompressible fluid phas
Externí odkaz:
http://arxiv.org/abs/2406.11662
Publikováno v:
Comput. Mech. (2024)
As an anode material for lithium-ion batteries, amorphous silicon offers a significantly higher energy density than the graphite anodes currently used. Alloying reactions of lithium and silicon, however, induce large deformation and lead to volume ch
Externí odkaz:
http://arxiv.org/abs/2310.05440
Fiber-orientation tensors describe the relevant features of the fiber-orientation distribution compactly and are thus ubiquitous in injection-molding simulations and subsequent mechanical analyses. In engineering applications to date, the second-orde
Externí odkaz:
http://arxiv.org/abs/2211.08551
Autor:
Meyer, Nils, Gajek, Sebastian, Görthofer, Johannes, Hrymak, Andrew, Kärger, Luise, Henning, Frank, Schneider, Matti, Böhlke, Thomas
Publikováno v:
A probabilistic virtual process chain to quantify process-induced uncertainties in Sheet Molding Compounds, Composites Part B: Engineering, Volume 249, 15 January 2023, 110380
The manufacturing process of Sheet Molding Compound (SMC) influences the properties of a component in a non-deterministic fashion. To predict this influence on the mechanical performance, we develop a virtual process chain acting as a digital twin fo
Externí odkaz:
http://arxiv.org/abs/2209.05873
The onset of nonlinear effects in metals, such as plasticity and damage, is strongly influenced by the heterogeneous stress distribution at the grain level. This work is devoted to studying the local stress distribution of shear stresses resolved in
Externí odkaz:
http://arxiv.org/abs/2204.04091
Publikováno v:
In Scripta Materialia 1 July 2024 247
Publikováno v:
In Scripta Materialia 1 October 2024 251
We extend the FE-DMN method to fully coupled thermomechanical two-scale simulations of composite materials. In particular, every Gauss point of the macroscopic finite element model is equipped with a deep material network (DMN). Such a DMN serves as
Externí odkaz:
http://arxiv.org/abs/2109.14403
Publikováno v:
In Applications in Energy and Combustion Science June 2024 18
Autor:
Karl, Tobias, Böhlke, Thomas
Publikováno v:
In International Journal of Mechanical Sciences 1 February 2024 263