Machine learning aided multiscale mechanics of fiber suspensions : Schriftenreihe Kontinuumsmechanik im Maschinenbau

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Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Schriftenreihe Kontinuumsmechanik im MaschinenbauPublisher: Karlsruhe, Germany : KIT Scientific Publishing : KIT Scientific Publishing [Imprint], 2025Description: 1 Online-Ressource (1 electronic resource 206 p.)ISBN:

9783731514213

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Summary: We present a Fast-Fourier-Transform (FFT) based computational approach to computing the viscous stress response of rigid fibers suspended in a non-Newtonian medium. We identify closed-form models for the fiber suspension viscosity from data obtained with the FFT-based computational approach by leveraging supervised machine learning techniques. Furthermore, we present a novel Deep Material Network architecture capable of treating suspensions of rigid particles with high computational efficiencyPPN: PPN: 1983980544Package identifier: Produktsigel: ZDB-94-OAB

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Namensnennung - Weitergabe unter gleichen Bedingungen 4.0 International CC BY-SA 4.0 cc:

https://creativecommons.org/licenses/by-sa/4.0/

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