0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessIn this work, an in-depth numerical study is conducted on the influence of the stringer cross-section geometry on the mechanical behavior of curved stiffened carbon-fiber reinforced polymer panels under compression, used as fuselages of commercial aircrafts. The numerical model of a reference panel is described and the numerical results are firstly validated, by comparison with experimental results available in the literature, and then analyzed in detail. A study of the influence of different cross-section geometries of stringers (T-, I-, C-, J-, and Ω-shaped) on the behavior of the panel is then conducted. Finally some conclusions are drawn.
António P. C. Duarte, Gonçalo Pereira, Nuno Silvestre (2019). Numerical study of the influence of the stringers cross-section geometry on the mechanical behavior of compressed curved stiffened composite panels. Mechanics of Advanced Materials and Structures, 28(5), pp. 516-529, DOI: 10.1080/15376494.2019.1578009.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2019
Authors
3
Datasets
0
Total Files
0
Language
English
Journal
Mechanics of Advanced Materials and Structures
DOI
10.1080/15376494.2019.1578009
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access
