Experimental Investigation on Hydraulic Efficiency of Vertical Drop Equipped with Vertical Screens

Daneshfaraz, Rasoul; Sadeghfam, Sina; HASANNİYA, Vadoud; Abraham, John; Norouzi, Reza

doi:10.18400/tekderg.755938

Cited by 2 publications

(1 citation statement)

References 25 publications

(27 reference statements)

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“…The finding reveal that the relative wetting length increased by increasing the relative diameter of the horizontal screen. Daneshfaraz et al (2022) Investigated the performance of a vertical drop with a screen. Outcom of this study shows that drops equipped with screens increase the relative downstream depth, Recently, dissipation of energy in hydraulic structures was estimated using machine learning techniques.…”

Section: Introductionmentioning

confidence: 99%

Predicting relative energy dissipation for vertical drops equipped with a horizontal screen using soft computing techniques

et al. 2021

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This study was designed to evaluate the ability of Artificial Intelligence (AI) methods including ANN, ANFIS, GRNN, SVM, GP, LR, and MLR to predict the relative energy dissipation(ΔE/Eu) for vertical drops equipped with a horizontal screen. For this study, 108 experiments were carried out to investigate energy dissipation. In the experiments, the discharge rate, drop height, and porosity of the screens were varied. Parameters yc/h, yd/yc, and p were input variables, and ΔE/Eu was the output variable. The efficiencies of the models were compared using the following metrics: correlation coefficient (CC), mean absolute error (MAE), root-mean-square error (RMSE), Normalized root mean square error (NRMSE) and Nash–Sutcliffe model efficiency (NSE). Results indicate that the performance of the ANFIS_gbellmf based model with a CC value of 0.9953, RMSE value of 0.0069, MAE value of 0.0042, NRMSE value as 0.0092 and NSE value as 0.9895 was superior to other applied models. Also, a linear regression yielded CC = 0.9933, RMSE = 0.0083, and MAE = 0.0067. This linear model outperformed multiple linear regression models. Results from a sensitivity study suggest that yc/h is the most effective parameter for predicting ΔE/Eu.

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Section: Introductionmentioning

confidence: 99%

Predicting relative energy dissipation for vertical drops equipped with a horizontal screen using soft computing techniques

et al. 2021

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Experimental investigation on a new method for modifying the geometry of a vertical drop edge equipped with a screen on the amount of energy dissipation

Daneshfaraz,

Norouzi,

Abar

2024

Water Practice &Amp; Technology

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The aim of the current research is to investigate the effect of geometry and different angles (180°, 150°, 120° and 90°) of the edge of a vertical drop with a height of 0.15 m with and without a vertical screen on energy dissipation. The finding showed that the triangulation plane forms a vertical drop at different angles of 180°, 150°, 120° and 90° without a screen that increases the energy dissipation of the drop, which is highest at an angle of 90°, by 50.5%. In the vertical drop with a screen, reducing the angle also leads to a decrease in energy dissipation, so the highest energy dissipation occurs at an angle of 180° with a 45.2% increase in energy dissipation compared to the vertical drop without a screen. The relative depth of the edge and the relative depth of the vertical drop pool of the triangular plane are different at the angle vertex and its wings, in such a way that the relative depth of the edge at the vertex is less than the wings and the relative depth of the pool at the vertex is greater than the wings.

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Experimental Investigation on Hydraulic Efficiency of Vertical Drop Equipped with Vertical Screens

Cited by 2 publications

References 25 publications

Predicting relative energy dissipation for vertical drops equipped with a horizontal screen using soft computing techniques

Predicting relative energy dissipation for vertical drops equipped with a horizontal screen using soft computing techniques

Experimental investigation on a new method for modifying the geometry of a vertical drop edge equipped with a screen on the amount of energy dissipation

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