Bitte benutzen Sie diese Kennung, um auf die Ressource zu verweisen: http://dx.doi.org/10.18419/opus-14725
Autor(en): Cai, Renye
Zhang, Heng
Lai, Chenxiang
Yu, Zexin
Zeng, Xiangkun
Wu, Min
Wang, Yankun
Huang, Qisen
Zhu, Yiwei
Kong, Chunyu
Titel: Anisotropic hyperelastic strain energy function for carbon fiber woven fabrics
Erscheinungsdatum: 2024
Dokumentart: Zeitschriftenartikel
Seiten: 14
Erschienen in: Materials 17 (2024), No. 2456
URI: http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-147441
http://elib.uni-stuttgart.de/handle/11682/14744
http://dx.doi.org/10.18419/opus-14725
ISSN: 1996-1944
Zusammenfassung: The present paper introduces an innovative strain energy function (SEF) for incompressible anisotropic fiber-reinforced materials. This SEF is specifically designed to understand the mechanical behavior of carbon fiber-woven fabric. The considered model combines polyconvex invariants forming an integrity basisin polynomial form, which is inspired by the application of Noether’s theorem. A single solution can be obtained during the identification because of the relationship between the SEF we have constructed and the material parameters, which are linearly dependent. The six material parameters were precisely determined through a comparison between the closed-form solutions from our model and the corresponding tensile experimental data with different stretching ratios, with determination coefficients consistently reaching a remarkable value of 0.99. When considering only uniaxial tensile tests, our model can be simplified from a quadratic polynomial to a linear polynomial, thereby reducing the number of material parameters required from six to four, while the fidelity of the model’s predictive accuracy remains unaltered. The comparison between the results of numerical calculations and experiments proves the efficiency and accuracy of the method.
Enthalten in den Sammlungen:07 Fakultät Konstruktions-, Produktions- und Fahrzeugtechnik

Dateien zu dieser Ressource:
Datei Beschreibung GrößeFormat 
materials-17-02456.pdf3,34 MBAdobe PDFÖffnen/Anzeigen


Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons Creative Commons