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Grid-pattern optimization framework of novel hierarchical stiffened shells allowing for imperfection sensitivity.

Authors :
Wang, Bo
Tian, Kuo
Zhou, Caihua
Hao, Peng
Zheng, Yanbing
Ma, Yunlong
Wang, Jiebing
Source :
Aerospace Science & Technology. Mar2017, Vol. 62, p114-121. 8p.
Publication Year :
2017

Abstract

Influenced by numerous local features, the post-buckling analysis and optimization for hierarchical stiffened shells suffer from heavy computational costs. By smearing the minor stiffeners based on a novel numerical implementation of asymptotic homogenization (NIAH) method, a novel hybrid model for hierarchical stiffened shells is presented. Then, the high prediction accuracy and efficiency of the hybrid model for post-buckling analysis and imperfection sensitivity analysis are validated. Furthermore, a grid-pattern optimization framework of novel hierarchical stiffened shells allowing for imperfection sensitivity is established. The illustrative examples indicate that, the hierarchical stiffened shell with candidate sub-structures is more competitive in load-carrying capacity than that with the fixed grid-pattern, and the presence of imperfections would greatly affect the results of grid-pattern optimizations. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
12709638
Volume :
62
Database :
Academic Search Index
Journal :
Aerospace Science & Technology
Publication Type :
Academic Journal
Accession number :
120889686
Full Text :
https://doi.org/10.1016/j.ast.2016.12.002