The Experts below are selected from a list of 312 Experts worldwide ranked by ideXlab platform
Seongjoon Byeon - One of the best experts on this subject based on the ideXlab platform.
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hydraulic jump and energy dissipation with sluice gate
Water, 2015Co-Authors: Youngkyu Kim, Gyewoon Choi, Hyoseon Park, Seongjoon ByeonAbstract:Movable weirs have been developed to address the weaknesses of conventional fixed weirs. However, the structures for riverbed protection downstream of movable weirs are designed using the criteria of fixed weirs in most cases, and these applications cause problems, such as scour and deformation of structures, due to misunderstanding the difference between different types of structures. In this study, a hydraulic experiment was conducted to examine weir type-specific hydraulic phenomena, compare hydraulic jumps and downstream flow characteristics according to different weir types, and analyze hydraulic characteristics, such as changes in water levels, velocities and energy. Additionally, to control the flow generated by a sluice gate, energy dissipators were examined herein for their effectiveness in relation to different installation locations and heights. As a result, it was found that although sluice gates generated hydraulic jumps similar to those of fixed weirs, their downstream supercritical flow increased to eventually elongate the overall hydraulic jumps. In energy dissipator installation, installation heights were found to be sensitive to energy dissipation. The most effective energy dissipator height was 10% of the downstream free surface water depth in this experiment. Based on these findings, it seems desirable to use energy dissipators to reduce energy, as such dissipators were found to be effective in reducing hydraulic jumps and protecting the riverbed under sluice gates.
Zaher Mundher Yaseen - One of the best experts on this subject based on the ideXlab platform.
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Simulation of the depth scouring downstream sluice gate: The validation of newly developed data-intelligent models
Journal of Hydro-environment Research, 2020Co-Authors: Ahmad Sharafati, Ali Tafarojnoruz, Mojtaba Shourian, Zaher Mundher YaseenAbstract:Abstract Sluice gate is a common tool to regulate water conveyance systems like irrigation channels or pipelines. The interaction between the flow and sediment particles downstream of the sluice gate may initiate scouring phenomenon and extend the resulted scour hole beneath the sluice gate foundation. The consequence of this procedure is undermining the whole structure, interrupting the flow passage, and regulation. Thus, the scour process downstream of a sluice gate is a critical point and robust scour depth prediction is still a crucial issue for hydraulic engineers. This paper proposes several novel hybrid adaptive neuro-fuzzy inference system (ANFIS) methods called ANFIS-PSO (particle swarm optimization), ANFIS-ACO (ant colony optimization), ANFIS-DE (differential evolution) and ANFIS-GA (genetic algorithm) as predictive models to estimate scour depth downstream of a sluice gate. To this end, some physical and hydraulic parameters such as d 50 (median diameter of bed material), b (gate opening), h (tail water depth), l (apron length), U (mean velocity of the jet) and σ g (geometric standard deviation of sediment grain size) are considered as predictive variables in form of non-dimensional parameters. To provide a reliable predictive model, three combinations of input variables are prepared by eliminating some predictive variables. To assess adequacy of proposed models, some error indices are employed in both training and testing phases. Results show the optimistic predictive model is ANFIS-PSO ( RMSE = 0.437 and R 2 = 0.946 ) when all mentioned non-dimensional parameters are employed except h b . Furthermore, the proposed model has the largest accuracy compared to the previously developed AI and empirical models. Ultimately, it can be concluded that the hybrid ANFIS-PSO is a robust approach for scour depth prediction downstream of a sluice gate.
Michał Kubrak - One of the best experts on this subject based on the ideXlab platform.
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Flow Measurements Using a Sluice Gate; Analysis of Applicability
Water, 2020Co-Authors: Elżbieta Kubrak, Janusz Kubrak, Adam Kiczko, Michał KubrakAbstract:This study analyzes the possibilities of using an irrigation sluice gate in submerged conditions to measure water flow rate. Hydraulic experiments on sluice gate discharge capacity were performed on a model made on a 1:2 scale. Measurements were taken for the submerged flow of the sluice gate. Nomograms and relationships for discharge coefficients of the analyzed sluice gate were developed. The possibility of using the existing nomogram for discharge capacity of the submerged sluice gate to determine the discharge capacity of the modeled gate was also investigated. The effect of narrowing of the sluice gate cross-section resulting from different mounting techniques on its capacity was explained. The analyses confirmed the possibility of using the formulas for the submerged sluice gate to estimate the flow through the irrigation sluice gate.
Youngkyu Kim - One of the best experts on this subject based on the ideXlab platform.
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hydraulic jump and energy dissipation with sluice gate
Water, 2015Co-Authors: Youngkyu Kim, Gyewoon Choi, Hyoseon Park, Seongjoon ByeonAbstract:Movable weirs have been developed to address the weaknesses of conventional fixed weirs. However, the structures for riverbed protection downstream of movable weirs are designed using the criteria of fixed weirs in most cases, and these applications cause problems, such as scour and deformation of structures, due to misunderstanding the difference between different types of structures. In this study, a hydraulic experiment was conducted to examine weir type-specific hydraulic phenomena, compare hydraulic jumps and downstream flow characteristics according to different weir types, and analyze hydraulic characteristics, such as changes in water levels, velocities and energy. Additionally, to control the flow generated by a sluice gate, energy dissipators were examined herein for their effectiveness in relation to different installation locations and heights. As a result, it was found that although sluice gates generated hydraulic jumps similar to those of fixed weirs, their downstream supercritical flow increased to eventually elongate the overall hydraulic jumps. In energy dissipator installation, installation heights were found to be sensitive to energy dissipation. The most effective energy dissipator height was 10% of the downstream free surface water depth in this experiment. Based on these findings, it seems desirable to use energy dissipators to reduce energy, as such dissipators were found to be effective in reducing hydraulic jumps and protecting the riverbed under sluice gates.
Ahmad Sharafati - One of the best experts on this subject based on the ideXlab platform.
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Simulation of the depth scouring downstream sluice gate: The validation of newly developed data-intelligent models
Journal of Hydro-environment Research, 2020Co-Authors: Ahmad Sharafati, Ali Tafarojnoruz, Mojtaba Shourian, Zaher Mundher YaseenAbstract:Abstract Sluice gate is a common tool to regulate water conveyance systems like irrigation channels or pipelines. The interaction between the flow and sediment particles downstream of the sluice gate may initiate scouring phenomenon and extend the resulted scour hole beneath the sluice gate foundation. The consequence of this procedure is undermining the whole structure, interrupting the flow passage, and regulation. Thus, the scour process downstream of a sluice gate is a critical point and robust scour depth prediction is still a crucial issue for hydraulic engineers. This paper proposes several novel hybrid adaptive neuro-fuzzy inference system (ANFIS) methods called ANFIS-PSO (particle swarm optimization), ANFIS-ACO (ant colony optimization), ANFIS-DE (differential evolution) and ANFIS-GA (genetic algorithm) as predictive models to estimate scour depth downstream of a sluice gate. To this end, some physical and hydraulic parameters such as d 50 (median diameter of bed material), b (gate opening), h (tail water depth), l (apron length), U (mean velocity of the jet) and σ g (geometric standard deviation of sediment grain size) are considered as predictive variables in form of non-dimensional parameters. To provide a reliable predictive model, three combinations of input variables are prepared by eliminating some predictive variables. To assess adequacy of proposed models, some error indices are employed in both training and testing phases. Results show the optimistic predictive model is ANFIS-PSO ( RMSE = 0.437 and R 2 = 0.946 ) when all mentioned non-dimensional parameters are employed except h b . Furthermore, the proposed model has the largest accuracy compared to the previously developed AI and empirical models. Ultimately, it can be concluded that the hybrid ANFIS-PSO is a robust approach for scour depth prediction downstream of a sluice gate.