کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6705475 | 502902 | 2016 | 31 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Numerical-based smeared stiffener method for global buckling analysis of grid-stiffened composite cylindrical shells
ترجمه فارسی عنوان
روش اسیفرسر اسیدهای چرب مبتنی بر عددی برای تجزیه و تحلیل جهانی انحنای پوسته های استوانه ای کامپوزیت
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کلمات کلیدی
خم شدن پوسته سخت روش همگن سازی همبستگی، روش رایلی روش ریتز،
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی عمران و سازه
چکیده انگلیسی
With regard to future heavy-lift launch vehicles, the buckling analysis and optimization of large-scale stiffened shells by finite element method (FEM) suffer from unbearable computational cost. In spite of the high analysis efficiency, the traditional smeared stiffener method (SSM) is still not accurate enough owing to the assumptions of analytical derivations. In this study, an effective and efficient numerical-based smeared stiffener method (NSSM) is proposed for the buckling analysis of stiffened shells. Firstly, the representative unit cell of stiffened shell is divided, and then it is equivalent using a novel numerical implementation of asymptotic homogenization (NIAH) method. The equivalent stiffness coefficients can be obtained accurately. Then, the buckling load is calculated by means of Rayleigh-Ritz method. Comparing with the prediction results of SSM and FEM, the high prediction accuracy and efficiency of NSSM are observed. Then, the effectiveness of NSSM for different loading conditions and model scales are discussed. Finally, numerical examples illustrate the high prediction accuracy and widespread applicability of NSSM for various grid-patterns, and the advantage of the rotated triangle grid-pattern in load-carrying capacity among various grid-patterns is demonstrated.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Composite Structures - Volume 152, 15 September 2016, Pages 807-815
Journal: Composite Structures - Volume 152, 15 September 2016, Pages 807-815
نویسندگان
Bo Wang, Kuo Tian, Peng Hao, Yanbing Zheng, Yunlong Ma, Jiebing Wang,