تعداد نشریات | 418 |
تعداد شمارهها | 10,006 |
تعداد مقالات | 83,641 |
تعداد مشاهده مقاله | 78,606,880 |
تعداد دریافت فایل اصل مقاله | 55,761,762 |
Crack Detection of Fixed-Simply Supported Euler Bernoulli Beam Using Elman Networks | ||
journal of Artificial Intelligence in Electrical Engineering | ||
مقاله 3، دوره 4، شماره 16، خرداد 2016، صفحه 23-28 اصل مقاله (116.8 K) | ||
نوع مقاله: Original Article | ||
نویسندگان | ||
Siamak Ghadimi1؛ Seyed Sina Kourehli2 | ||
1Journal of Artificial Intelligence in Electrical Engineering, | ||
2Journal of Artificial Intelligence in Electrical Engineering | ||
چکیده | ||
In this paper, the crack detection and depth ratio estimation method are presented in beamlike structures using Elman Networks. For this purpose, by using the frequencies of modes as input, crack depth ratio of each element was detected as output. Performance of the proposed method was evaluated by using three numerical scenarios of crack for fixed-simply supported beam consisting of a single cracked, two cracked and three cracked beams have been investigated. The results indicate that the proposed method is effective in the crack detection and estimation of crack depth ratio in beam-like structures. | ||
کلیدواژهها | ||
Crack Detection؛ Beam-like structures؛ Elman Networks؛ frequency | ||
آمار تعداد مشاهده مقاله: 567 تعداد دریافت فایل اصل مقاله: 617 |