Experimental characterization and numerical modeling of in-plane shear behavior of woven prepreg composite fabrics
Source abstract
Abstract
In-plane shear deformation is a highly important mechanic that controls the formation of wrinkles during the forming of textile composites. This paper presents two computational formulations that describe the in-plane shear behavior of woven thermoset prepreg fabric. The bias-extension characterization test was used to validate the computational models. One of the two computational models presented is based on linear visco-elasticity and the other is based on visco-hyperelasticity. The comparison of simulation and experiments shows that a visco-hyperelastic model is necessary to accurately capture the behavior of woven composite prepregs. This paper also compares the experimental measurements with calculations based on the pin-jointed net theory to develop a criterion that helps to determine the range of the bias-extension experiment data that can be used to validate and calibrate computational models.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Textile materials and evaluations · Structural Analysis and Optimization · Mechanical Behavior of Composites
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA
Funding
Boeing
References (22)
Show source-provided references
1. 10.1016/B978-185617415-2/50011-310.1016/B978-185617415-2/50011-3 ↗
2. 10.1016/j.compositesb.2012.05.02110.1016/j.compositesb.2012.05.021 ↗
3. 10.1016/S1359-835X(00)00006-310.1016/S1359-835X(00)00006-3 ↗
4. 10.1016/j.compstruc.2008.01.00910.1016/j.compstruc.2008.01.009 ↗
5. 10.1016/j.compositesa.2004.08.00810.1016/j.compositesa.2004.08.008 ↗
6. Khan MA · 2009
7. 10.1016/j.compositesb.2020.10835710.1016/j.compositesb.2020.108357 ↗
8. Chen S · 2016
9. 10.1016/j.compositesa.2013.09.00910.1016/j.compositesa.2013.09.009 ↗
10. Dörr D · 2019
11. 10.1016/j.compositesa.2008.02.01610.1016/j.compositesa.2008.02.016 ↗
12. Kashani MH · 2017
13. 10.1016/j.compscitech.2007.06.02110.1016/j.compscitech.2007.06.021 ↗
14. 10.1016/j.compstruct.2020.11352910.1016/j.compstruct.2020.113529 ↗
15. 10.1177/089270571245428910.1177/0892705712454289 ↗
16. 10.1016/j.compositesa.2007.04.00910.1016/j.compositesa.2007.04.009 ↗
17. Yang Y · 2022
18. 10.2478/v10180-011-0021-710.2478/v10180-011-0021-7 ↗
19. 10.1016/j.compositesa.2005.04.02410.1016/j.compositesa.2005.04.024 ↗
20. 10.1016/j.compscitech.2003.10.01510.1016/j.compscitech.2003.10.015 ↗
21. 10.1177/004051750606103210.1177/0040517506061032 ↗
22. 10.1016/j.compositesa.2005.03.03210.1016/j.compositesa.2005.03.032 ↗