Zobrazeno 1 - 10
of 72
pro vyhledávání: '"deep material networks"'
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
Akademický článek
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Publikováno v:
In International Journal of Plasticity January 2023 160
Autor:
Liu, Zeliang
Despite the increasing importance of strain localization modeling (e.g., failure analysis) in computer-aided engineering, there is a lack of effective approaches to capturing relevant material behaviors consistently across multiple length scales. We
Externí odkaz:
http://arxiv.org/abs/2101.07226
Autor:
Dey, Argha Protim1 (AUTHOR), Welschinger, Fabian1 (AUTHOR), Schneider, Matti2 (AUTHOR) matti.schneider@kit.edu, Gajek, Sebastian2 (AUTHOR), Böhlke, Thomas2 (AUTHOR)
Publikováno v:
Archive of Applied Mechanics. Sep2022, Vol. 92 Issue 9, p2733-2755. 23p.
Publikováno v:
In Journal of the Mechanics and Physics of Solids September 2020 142
Autor:
Gajek, Sebastian
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 DMN
Externí odkaz:
https://library.oapen.org/handle/20.500.12657/76126
Autor:
Gajek, Sebastian1 (AUTHOR) sebastian.gajek@kit.edu, Schneider, Matti1 (AUTHOR), Böhlke, Thomas1 (AUTHOR)
Publikováno v:
PAMM: Proceedings in Applied Mathematics & Mechanics. Mar2023, Vol. 22 Issue 1, p1-6. 6p.
Publikováno v:
PAMM, 22 (1), Art.-Nr.: e202200143
Deep material networks (DMN) are a data-driven homogenization approach that show great promise for accelerating concurrent two-scale simulations. As a salient feature, DMNs are solely identified by linear elastic precomputations on representative vol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9e871e82dda1f2fa29d997ebb92f384
https://publikationen.bibliothek.kit.edu/1000157291
https://publikationen.bibliothek.kit.edu/1000157291
Publikováno v:
Archive of Applied Mechanics, 92 (9), 2733–2755
Deep material networks (DMNs) are a recent multiscale technology which enable running concurrent multiscale simulations on industrial scale with the help of powerful surrogate models for the micromechanical problem. Classically, the parameters of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::804f87a92bcf7100a4c55c5991603bd7
https://publikationen.bibliothek.kit.edu/1000149491
https://publikationen.bibliothek.kit.edu/1000149491