A discharge coefficient for a trapezoidal broad-crested side weir in subcritical flow

Haddadi, Hadis; Rahimpour, Majid

doi:10.1016/j.flowmeasinst.2012.04.002

Cited by 30 publications

(9 citation statements)

References 19 publications

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“…The hydraulics of broad-crested weirs was investigated in many experimental studies, such as Felder and Chanson (2012), Goodarzi et al (2012), Haddadi and Rahimpour (2012), Hager and Schwalt (1994), Madadi, et al (2013Madadi, et al ( , 2014. Several of these studies highlighted the considerable influence of the weir upstream slope on the discharge coefficient.…”

Section: Figmentioning

confidence: 99%

Performance of a shallow-water model for simulating flow over trapezoidal broad-crested weirs

Říha

Duchan

Zachoval

et al. 2019

Journal of Hydrology and Hydromechanics

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Shallow-water models are standard for simulating flow in river systems during floods, including in the near-field of sudden changes in the topography, where vertical flow contraction occurs such as in case of channel overbanking, side spillways or levee overtopping. In the case of stagnant inundation and for frontal flow, the flow configurations are close to the flow over a broad-crested weir with the trapezoidal profile in the flow direction (i.e. inclined upstream and downstream slopes). In this study, results of shallow-water numerical modelling were compared with seven sets of previous experimental observations of flow over a frontal broad-crested weir, to assess the effect of vertical contraction and surface roughness on the accuracy of the computational results. Three different upstream slopes of the broad-crested weir (V:H = 1:Z1 = 1:1, 1:2, 1:3) and three roughness scenarios were tested. The results indicate that, for smooth surface, numerical simulations overestimate by about 2 to 5% the weir discharge coefficient. In case of a rough surface, the difference between computations and observations reach up to 10%, for high relative roughness. When taking into account mentioned the differences, the shallow-water model may be applied for a range of engineering purposes.

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Section: Figmentioning

confidence: 99%

Performance of a shallow-water model for simulating flow over trapezoidal broad-crested weirs

Říha

Duchan

Zachoval

et al. 2019

Journal of Hydrology and Hydromechanics

View full text Add to dashboard Cite

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“…Side weir is a type of weir which has many possible uses in hydraulic engineering and has been investigated as an important structure in hydro systems as well (Chen 2015;Laycock 2007). Side weir is a hydraulic structure placed on the side of the channel and sometime is used as water surface controller structure in dam and irrigation projects whereas the main task of side weirs is removing the excess flow from the hydro systems (Bagheri et al 2014;Haddadi and Rahimpour 2012). Study on side weirs hydraulics is conducted by the physical and numerical approaches (Parsaie 2016).…”

Section: Introductionmentioning

confidence: 99%

“…In this regard, labyrinth, oblique, semi-elliptical, curved plan-form and trapezoidal sharp and broad-crested could be mentioned. Based on reports, performance of nonlinear weirs is much more than the conventional side weir (Borghei and Parvaneh 2011;Cheong 1991;Coşar and Agaccioglu 2004;Emiroglu and Kaya 2011;Emiroglu and Kisi 2013;Emiroglu et al 2011a;Haddadi and Rahimpour 2012;Jalili and Borghei 1996;Kaya et al 2011). In the field of numerical modeling, in addition to solving the governing hydraulic equations by numerical approaches such as Runge-Kutta Method, the computational fluid dynamic (CFD) techniques has been used to simulate the flow over side weir.…”

Section: Introductionmentioning

confidence: 99%

Predictive modeling the side weir discharge coefficient using neural network

Parsaie

2016

Model. Earth Syst. Environ.

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Weirs are common structures that are widely used in the almost water engineering projects such as hydropower systems, irrigation and drainage networks along with sewage networks. A side weir has many possible uses in hydraulic engineering and has been investigated as an important structure in hydro systems, as well. In this paper, predicting the discharge coefficient of side weirs (Cd sw) was considered using the empirical formulas, multilayer perceptron (MLP) and radial basis function (RBF) neural network as delegate of artificial neural network models. The results indicate that Emiroglu formula by correlation coefficient of (R 2 = 0.65) and root mean square error of (RMSE = 0.03) is the accurate one among the empirical formulas. Evaluating the performance of the RBF model with ten neurons in the hidden layer involving error indices of (R 2 = 0.71 and RMSE = 0.08) showed that this model was a bit better than Emiroglu formula. The structure of MLP model was considered as similar to RBF model whereas the tangent sigmoid was used instead to the radial basis function. The results of MLP model showed that this model with R 2 = 0.89 and RMSE = 0.067 had suitable performance for predicting discharge coefficient. Performance of MLP was more accurate compared to RBF model.

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“…Side weir is used for removing the excess flow from the hydro-systems such as irrigation and drainage network, sewage, etc. (Bagheri et al 2014;Haddadi and Rahimpour 2012;. Several studies such as experimental, analytical and artificial intelligent techniques have been used for calculating and predicting the sider weir discharge coefficient (Vatankhah 2013a, b;Parsaie and Haghiabi 2014).…”

Section: Introductionmentioning

confidence: 99%

Prediction of discharge coefficient of side weir using adaptive neuro-fuzzy inference system

Parsaie

Haghiabi

2016

Sustain. Water Resour. Manag.

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Predicting the discharge coefficient of the hydraulic structures is one of the main subjects related to the hydro-system management. Weirs are the common hydraulic structure widely used in the water engineering projects. Side weir is the common type of hydraulic structure used in water engineering projects. Principal component analysis of the affective parameters on the side weir discharge coefficient leads to develop optimal structure for the empirical formulas and artificial intelligent models. In this paper, the principal component analysis (PCA) technique was used to define the most important affective parameters on the discharge coefficient of side weir (Cd sw ). The result of the PCA showed that the Froude number and ratio of the weir height to the upstream flow depth (P/h 1 ) are the most influential parameters affecting the Cd sw . Developing the adaptive neuro-fuzzy inference system (ANFIS) based on the PCA result showed that the optimal ANFIS structure is related to consider the five and four Gaussian membership function for the Froude number and P/h 1 parameters, respectively. The correlation coefficient of the ANFIS model during the training and testing stage was found to be 0.96 and 0.86 correspondingly.

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A discharge coefficient for a trapezoidal broad-crested side weir in subcritical flow

Cited by 30 publications

References 19 publications

Performance of a shallow-water model for simulating flow over trapezoidal broad-crested weirs

Performance of a shallow-water model for simulating flow over trapezoidal broad-crested weirs

Predictive modeling the side weir discharge coefficient using neural network

Prediction of discharge coefficient of side weir using adaptive neuro-fuzzy inference system

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