Details

Autor(en) / Beteiligte

• Wang, Bo
• Tian, Kuo
• Zhou, Caihua
• Hao, Peng
• Zheng, Yanbing
• Ma, Yunlong
• Wang, Jiebing

Titel

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

Ist Teil von

• Aerospace science and technology, 2017-03, Vol.62, p.114-121

Ort / Verlag

Elsevier Masson SAS

Erscheinungsjahr

2017

Quelle

Access via ScienceDirect (Elsevier)

Beschreibungen/Notizen

• 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.