Experimental and numerical analysis of the scour profile downstream of flip bucket with change in bed material size

Movahedi, Azin; Kavianpour, Mohammad Reza; Yamini, Omid Aminoroayaie

doi:10.1080/09715010.2017.1398111

Cited by 24 publications

(16 citation statements)

References 19 publications

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“…This diagram is based on the data from individuals such as Figure 11. Normalized scour depths vs. Fg 2 Azmathullah et al [33], Movahedi et al [22], Amanian and Urroz [9], and Castillo and Carrillo [48]. Accordingly, the simpler regression relation is presented as Equation 14:…”

Section: Evaluation Of the Effect Of Particle Size On Ski Jump Scourmentioning

confidence: 99%

“…Few quantitative studies were undertaken regarding the erosion pattern as well as the maximum distance of the scour hole from the structures [20]. More recently, Zhang et al [21], and Movahedi et al [22] established an expression to predict the sediment scour depth using Flow3D or Fluent, a computational fluid dynamics (CFD) software [23][24][25][26][27] .…”

Section: Introductionmentioning

confidence: 99%

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Experimental Modeling and Evaluation Sediment Scouring in Riverbeds around Downstream in Flip Buckets

Khalifehei

Azizyan

Shafai-Bajestan

et al. 2020

IJE

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Flip buckets are a common configuration for side channel spillways. Similar to other spillways, the flip bucket or ski jump has its disadvantages, among which the scour hole downstream due to the flip bucket jet is the most important. The structure safety and stability may be influenced by the scour holes generated at the downstream side of bucket type energy dissipators. This study has employed an experimental model in order to examine the sediment scour created at the end of flip bucket energy dissipators at various flow rates and tail water depths. A total of 45 experiments were performed under different conditions. The experimental invistigation was conducted at the hydraulic laboratory of Shahid Chamran University in Iran. The main objective of this research was to identify the maximum depth of sediment scour () and the maximum distance of sediment scour hole () from the structures. The results showed that the maximum depth of scour and its distance from the structure increased by increasing discharge. The results of experimental models show that, at the downstream depths () of 0.2 and 0.3 m, the stack was formed by the scouring at the upstream side of the hole, and at a depth of 0.1 m, this stack was transferred to the area after the scour hole. This could be explained by the fact that at downstream depths of 0.2 and 0.3 m, the rolling flow moved from the bottom upwards in the opposite direction of the water flow and sequestrated the sediments upstream. According to Equation Mean Absolute Relative Error (MARE) proposed relation based on laboratory studies has MARE of about 34.2%.

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Section: Evaluation Of the Effect Of Particle Size On Ski Jump Scourmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Experimental Modeling and Evaluation Sediment Scouring in Riverbeds around Downstream in Flip Buckets

Khalifehei

Azizyan

Shafai-Bajestan

et al. 2020

IJE

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“…Flow-3D (Version 10.0.0.1) is a commercial CFD code that was applied for the simulation of a wide range of issues related to the water and environment industry, from large hydropower projects to hydraulic and marine structures [29]. Flow-3D was also applied for simulating waves and various coastal structures (Movahedi et al [30], Cavallaro et al [31], Mansoori et al [32], Maliki et al [33], and Sayeed et al [34,35]). The results of recent studies indicate that the Flow-3D code has been proved to simulate the performance of the SSG system.…”

Section: Flow-3d Softwarementioning

confidence: 99%

Analyzing the Performance of Wave-Energy Generator Systems (SSG) for the Southern Coasts of Iran, in the Persian Gulf and Oman Sea

2018

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The Sea-wave Slot-cone Generator (SSG) wave-energy device is a type of electric energy converting structure that converts energy from sea waves, and which is designed and installed based on wave-overtopping in areas. Most of the previous studies have evaluated SSG systems based on hypothetical waves, considering the system geometry variations. However, it is important to consider the real wave conditions. This paper presents the results of a numerical study to investigate the performances of an SSG system in the context of the Persian Gulf and Oman Sea, where there is a strong need for renewable energies. The computational fluid dynamic (CFD) code Flow-3D was applied. First of all, available experimental data were applied to calibrate and evaluate the accuracy of the numerical model. Then, the real wave conditions on the coasts of the Persian Gulf and Oman Sea were imposed on the JONSWAP spectrum for the numerical modeling. Results of the study demonstrated that the hydraulic efficiency of the SSG system in the Persian Gulf and Oman Sea was low for wave heights lower than 0.5 m. The nominal efficiency of the system was relatively more than 60% for wave heights higher than 1 m; thus, the performance of the SSG system was suitably evaluated. Finally, the numerical results demonstrated that the most optimal conditions, with a nominal efficiency of 97%, were obtained for incident waves that had a height of 2 m and a period of 5.6 s. In this case, the hydraulic performance of the system was maximum.

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“…Hence, dissipation of the energy of flow is the primary issue of spillways. In this way, using the baffles along the chute of the spillway, stepped spillway, ski jump buckets and stilling basin at the toe of spillways have been suggested (Heller et al 2005;Movahedi et al 2019;Xiao et al 2015). Baffles usually are used in the small dam projects.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of energy dissipation on stepped spillway using evolutionary computing

Parsaie

Haghiabi

2019

Appl Water Sci

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In this study, using the M5 algorithm and multilayer perceptron neural network (MLPNN), the capability of stepped spillways regarding energy dissipation (ED) was approximated. For this purpose, relevant data was collected from valid sources. The study of the developed model based on the M5 algorithm showed that the Drop and Froude numbers play important roles in modeling and approximating the ED. The error indices of M5 algorithm in training were R 2 = 0.99 and RMSE = 2.48 and in testing were R 2 = 0.99 and RMSE = 2.23. The study of developed MLPNN revealed that this model has one hidden layer which includes five neurons. Among the tested transfer functions, the great efficiency was related to the Tansing function. The error indices of MLPNN in training were R 2 = 0.97 and RMSE = 3.73 and in testing stages were R 2 = 0.97 and RMSE = 3.98. Evaluation of the results of both applied methods shows that the accuracy of the MLPNN is a bit less than the M5 algorithm. Keywords Energy dissipation • Soft computing • Drop number • Spillways • M5 algorithm Abbreviations ANFIS Adaptive neuro-fuzzy inference system CFD Computational fluid dynamic DN Drop number ED Energy dissipation Fr Froude number g Gravity acceleration GEP Genetic expression programming GMDH Group method of data handling H Total head of flow h s Height of steps L c Length of crest L s Length of steps MARS Multivariate adaptive regression splines Max Maximum Min Minimum MLPNN Multilayer perceptron neural network N Number of steps q Discharge per width y 0 Flow depth over the crest y 1 and y 2 Conjugated depths of hydraulic jump This article is part of the Topical Collection "Water and Energy" guest edited by Enrico Drioli.

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Experimental and numerical analysis of the scour profile downstream of flip bucket with change in bed material size

Cited by 24 publications

References 19 publications

Experimental Modeling and Evaluation Sediment Scouring in Riverbeds around Downstream in Flip Buckets

Experimental Modeling and Evaluation Sediment Scouring in Riverbeds around Downstream in Flip Buckets

Analyzing the Performance of Wave-Energy Generator Systems (SSG) for the Southern Coasts of Iran, in the Persian Gulf and Oman Sea

Evaluation of energy dissipation on stepped spillway using evolutionary computing

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