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Estimating of Scour in Downstream of the Water Level Regulation Structures | ||
| Journal of Rehabilitation in Civil Engineering | ||
| مقاله 5، دوره 3، شماره 2 - شماره پیاپی 6، آبان 2015، صفحه 59-66 اصل مقاله (670.3 K) | ||
| نوع مقاله: Regular Paper | ||
| شناسه دیجیتال (DOI): 10.22075/jrce.2015.427 | ||
| نویسندگان | ||
| Saeed Farzin* 1؛ Mohammad Hosein Ahmadi2؛ Rasol Rajabpur2؛ Forough Alizadeh Sanami3؛ Kiuomars Asaii2 | ||
| 1Assistant Professor, Faculty of Civil Engineering, Semnan University, Semnan, Iran | ||
| 2Young Researchers and Elite Club, Beyza Branch, Islamic Azad University, Beyza, Iran | ||
| 3Ph.D. Student, Faculty of Civil Engineering, Iran University of Science and Technology, Tehran, Iran | ||
| تاریخ دریافت: 09 شهریور 1394، تاریخ بازنگری: 31 خرداد 1395، تاریخ پذیرش: 26 خرداد 1395 | ||
| چکیده | ||
| Scour in the downstream of hydraulic structures is a phenomenon which usually occurs due to exceeding the velocity or shear stress from a critical level. In this paper by using the laboratory data by Borman- Jouline and De-Agostino research, it was tried to get more accurate equations in order to calculate the maximum depth of scour in the downstream of the water level regulation structures. Comparing these equations with the results of the other researchers showed that these equations are much more accurate. After that Artificial neural networks (ANNs) with learning algorithm of error back propagation (BP) were used to estimate maximum water scour depth, and the model which has seven neurons in its hidden layer was produced as the most appropriate model. Finally by using statistical parameters, the ANN model was compared with optimized equations. The results of this study showed high correlation between artificial neural network and proposed equation. | ||
| کلیدواژه‌ها | ||
| Scour estimation؛ Water level regulation؛ Error back propagation؛ Artificial Neural Networks | ||
| مراجع | ||
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