INVESTIGATION OF TIME VARIATION OF SCOUR AROUND IMPERMEABLE SPUR DIKES IN THE STRAIGHT CHANNEL AND ITS PREDICTION USING ARTIFICIAL NEURAL NETWORKS

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ARDESHIR A.; KARAMI H.; SANEIE M.; SALAMATIAN A.

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Journal: IRANIAN JOURNAL OF WATERSHED MANAGEMENT SCIENCE AND ENGINEERING Year:2011 | Volume:4 | Issue:13 Page(s): 39-50

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Title

INVESTIGATION OF TIME VARIATION OF SCOUR AROUND IMPERMEABLE SPUR DIKES IN THE STRAIGHT CHANNEL AND ITS PREDICTION USING ARTIFICIAL NEURAL NETWORKS

Author(s)

ARDESHIR A. | KARAMI H. | SANEIE M. | SALAMATIAN A. | Issue Writer Certificate

Keywords

SPUR DIKEQ2

SCOURINGQ2

LABORATORY STUDIESQ2

PHYSICAL MODELSQ2

STATISTICAL ANALYSIS AND ARTIFICIAL NEURAL NETWORKSQ2

Abstract

Maximum scour depth around SPUR DIKEs is an important issue in design process. In the present research, time variation of scour around the first SPUR DIKE in a series of impermeable SPUR DIKEs was experimentally tested for different ratios of flow velocity to the threshold velocity of particle motion (U/Ucr) and four types of bed material gradation (D50). Experimental results showed that maximum scour depth reaches to an equilibrium condition in shorter time for lower ratios of U/Ucr. Furthermore the amount of 70 to 90% of equilibrium scour depth occurs during the first 20% of the equilibrium time. In the experiments, 787 laboratory data were totally collected with respect to maximum scour depth measured at different times of SCOURING. Analytical model (regression) and the best artificial neural networks model obtained from this study were compared by relationships provided with other researchers. The results showed that the ANN models of various training schemes outperform rather than the conventional regression models for both training and validation set of data.

Cites

ASSESSMENT OF DATA-MINING AND SOME EMPIRICAL METHODS IN SCOUR DEPTH ESTIMATION AT BRICLGE PIERS

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APA: Copy

ARDESHIR, A., KARAMI, H., SANEIE, M., & SALAMATIAN, A.. (2011). INVESTIGATION OF TIME VARIATION OF SCOUR AROUND IMPERMEABLE SPUR DIKES IN THE STRAIGHT CHANNEL AND ITS PREDICTION USING ARTIFICIAL NEURAL NETWORKS. IRANIAN JOURNAL OF WATERSHED MANAGEMENT SCIENCE AND ENGINEERING, 4(13), 39-50. SID. https://sid.ir/paper/134913/en

Vancouver: Copy

ARDESHIR A., KARAMI H., SANEIE M., SALAMATIAN A.. INVESTIGATION OF TIME VARIATION OF SCOUR AROUND IMPERMEABLE SPUR DIKES IN THE STRAIGHT CHANNEL AND ITS PREDICTION USING ARTIFICIAL NEURAL NETWORKS. IRANIAN JOURNAL OF WATERSHED MANAGEMENT SCIENCE AND ENGINEERING[Internet]. 2011;4(13):39-50. Available from: https://sid.ir/paper/134913/en

IEEE: Copy

A. ARDESHIR, H. KARAMI, M. SANEIE, and A. SALAMATIAN, “INVESTIGATION OF TIME VARIATION OF SCOUR AROUND IMPERMEABLE SPUR DIKES IN THE STRAIGHT CHANNEL AND ITS PREDICTION USING ARTIFICIAL NEURAL NETWORKS,” IRANIAN JOURNAL OF WATERSHED MANAGEMENT SCIENCE AND ENGINEERING, vol. 4, no. 13, pp. 39–50, 2011, [Online]. Available: https://sid.ir/paper/134913/en

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