کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
285993 | 509228 | 2006 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Prediction of rotation capacity of wide flange beams using neural networks
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی عمران و سازه
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Prediction of rotation capacity of wide flange beams using neural networks Prediction of rotation capacity of wide flange beams using neural networks](/preview/png/285993.png)
چکیده انگلیسی
This study proposes Neural Networks (NN) as a new approach for the estimation and explicit formulation of available rotation capacity of wide flange beams. Rotation capacity is an important phenomenon which determines the plastic behaviour of steel structures. Thus the database for the NN training is directly based on extensive experimental results from literature. The results of the NN approach are compared with numerical results obtained by a specialized computer. Available rotation capacity is also introduced in a closed form solution based on the proposed NN model. The proposed NN method is seen to be more accurate than numerical results, practical and fast compared to FE models.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Constructional Steel Research - Volume 62, Issue 10, October 2006, Pages 950–961
Journal: Journal of Constructional Steel Research - Volume 62, Issue 10, October 2006, Pages 950–961
نویسندگان
Ibrahim H. Guzelbey, Abdulkadir Cevik, Mehmet Tolga Gögüş,