کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
253802 503026 2007 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multi-objective stacking sequence optimization of laminated cylindrical panels using a genetic algorithm and neural networks
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی عمران و سازه
پیش نمایش صفحه اول مقاله
Multi-objective stacking sequence optimization of laminated cylindrical panels using a genetic algorithm and neural networks
چکیده انگلیسی

A multi-objective optimization strategy for optimal stacking sequence of laminated cylindrical panels is presented, with respect to the first natural frequency and critical buckling load, using the weighted summation method. To improve the speed of the optimization process, artificial neural networks are used to reproduce the behavior of the structure both in free vibration and buckling conditions. Based on first order shear deformation theory of laminated shells, a finite element code, capable of evaluating the first natural frequency and buckling load, is prepared of which the outputs are used for training and testing the developed neural networks. In order to find the optimal solution, a genetic algorithm is implemented. Verifications are made for both finite element code results and utilization of neural networks in the optimization process. With the purpose of illustrating the optimization process, numerical results are presented for a symmetric angle-ply six layer cylindrical panel.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Composite Structures - Volume 81, Issue 2, November 2007, Pages 253–263
نویسندگان
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