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, 22 (1)
doi: 10.1002/pamm.202200085
Artikel, Bibliographie
Dies ist die neueste Version dieses Eintrags.
Kurzbeschreibung (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.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2023 |
| Autor(en): | Marr, Julian ; Zartmann, Lukas ; Reinel-Bitzer, Doris ; Andrä, Heiko ; Müller, Ralf |
| Art des Eintrags: | Bibliographie |
| Titel: | Data‐based prediction of the viscoelastic behavior of short fiber reinforced composites |
| Sprache: | Englisch |
| Publikationsjahr: | 2023 |
| Ort: | Darmstadt |
| Verlag: | Wiley-VCH |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | PAMM - Proceedings in Applied Mathematics & Mechanics |
| Jahrgang/Volume einer Zeitschrift: | 22 |
| (Heft-)Nummer: | 1 |
| Kollation: | 6 Seiten |
| DOI: | 10.1002/pamm.202200085 |
| Zugehörige Links: | |
| Kurzbeschreibung (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. |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau |
| Fachbereich(e)/-gebiet(e): | 13 Fachbereich Bau- und Umweltingenieurwissenschaften 13 Fachbereich Bau- und Umweltingenieurwissenschaften > Fachgebiete der Mechanik 13 Fachbereich Bau- und Umweltingenieurwissenschaften > Fachgebiete der Mechanik > Fachgebiet Kontinuumsmechanik |
| Hinterlegungsdatum: | 02 Aug 2024 12:51 |
| Letzte Änderung: | 02 Aug 2024 12:51 |
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Verfügbare Versionen dieses Eintrags
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Data‐based prediction of the viscoelastic behavior of short fiber reinforced composites. (deposited 28 Apr 2023 12:51)
- Data‐based prediction of the viscoelastic behavior of short fiber reinforced composites. (deposited 02 Aug 2024 12:51) [Gegenwärtig angezeigt]
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