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Data‐based prediction of the viscoelastic behavior of short fiber reinforced composites

Marr, Julian ; Zartmann, Lukas ; Reinel-Bitzer, Doris ; Andrä, Heiko ; Müller, Ralf (2023)
Data‐based prediction of the viscoelastic behavior of short fiber reinforced composites.
In: PAMM - Proceedings in Applied Mathematics & Mechanics, 2023, 22 (1)
doi: 10.26083/tuprints-00023733
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Data‐based prediction of the viscoelastic behavior of short fiber reinforced composites
Language: English
Date: 28 April 2023
Place of Publication: Darmstadt
Year of primary publication: 2023
Publisher: Wiley-VCH
Journal or Publication Title: PAMM - Proceedings in Applied Mathematics & Mechanics
Volume of the journal: 22
Issue Number: 1
Collation: 6 Seiten
DOI: 10.26083/tuprints-00023733
Corresponding Links:
Origin: Secondary publication DeepGreen
Abstract:

The viscoelastic behavior of short fiber reinforced polymers (SFRPs) partly depends on different microstructural parameters such as the local fiber orientation distribution. To account for this by simulation on component level, two‐scale methods couple simulations on the micro‐ and macroscale, which involve considerable computational costs. To circumvent this problem, the generation of a viscoelastic surrogate model is presented here. For that purpose, an adaptive sampling technique is investigated and data are obtained by creep simulations of representative volume elements (RVEs) using a fast Fourier transform (FFT) based homogenization method. Numerical tests confirm the high accuracy of the surrogate model. The possibility of using that model for efficient material optimization is shown.

Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-237332
Classification DDC: 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 13 Department of Civil and Environmental Engineering Sciences > Mechanics > Continuum Mechanics
Date Deposited: 28 Apr 2023 12:51
Last Modified: 14 Nov 2023 19:05
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/23733
PPN: 509861458
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