Comparative Study of Effective Parameters on Relative Energy Dissipation in Channels with Different Shapes based on Factorial Analysis and Intelligent GPR Method

Document Type : Original Article

Authors

1 Department Hydraulic Engineering, Faculty of Civil Engineering, Tabriz University, Iran

2 Faculty of Civil engineering

3 Department of Civil Engineering, Ahar Branch, Islamic Azad University, Ahar, Iran

Abstract

Accurate estimation of hydraulic jump characteristics such as energy dissipation amount has significant impact on optimum design of hydraulic structures. In this study, hydraulic jump relative energy dissipation was investigated in different sections channels (containing rectangular, sudden expanding, and trapezoidal sections) with different rough elements and with different arrangement using Gaussian Process Regression (GPR). In this regard, the parameters which had most correlation with energy dissipation were determined using factorial analysis. Then, different models were developed and using experimental data the impact of channel type and rough elements on energy dissipation was investigated. The obtained results of models analyzing showed the high efficiency of applied method in estimation of energy dissipation. It was observed that developed model in expanding channel with central block led to more accurate results in comparison with two others channels. For this channel, the model with input parameters of F1 and (y2-y1)/y1 was selected as superior model and the best result for test series was obtained the values of R=0.995, NSE =0.987 and RMSE=0.021. Also, it was observed that the channel rough elements characteristics had impact on predicting the relative energy dissipation and between two rough elements with strain and staggered arrangement, the obtained results for strain state were more accurate. According to the results of both factorial and omitted sensitivity analysis it was indicated that Froude number is the most significant parameter in estimation of relative energy dissipation.

Keywords


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