Discharge coefficient for trapezoidal side weir

Nezami, F; Farsadizadeh, D; Nekooie, Mohammad Ali

doi:10.1016/j.aej.2015.05.017

Cited by 21 publications

(10 citation statements)

References 24 publications

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“…2013; Nezami et al . 2015) and numerical (Aydin 2012; Aydin & Emiroglu 2013; 2016) studies on labyrinth side weir which indicates the high performance of this type of side weir. Similar to linear side weir, an oblique or asymmetric geometry in labyrinth side weir can improve the flow efficiency (Fig.…”

Section: Introductionmentioning

confidence: 95%

“…Using a weir with a labyrinth shape can also increase crest length and consequently increase discharge capacity (Falvey 2002). There are several experimental (Emiroglu et al 2010;Emiroglu & Kaya 2011;Borghei et al 2013;Nezami et al 2015) and numerical (Aydin 2012;Aydin & Emiroglu 2013;) studies on labyrinth side weir which indicates the high performance of this type of side weir. Similar to linear side weir, an oblique or asymmetric geometry in labyrinth side weir can improve the flow efficiency ( Fig.…”

Section: Introductionmentioning

confidence: 99%

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Experimental and numerical study of a piano key side weir with oblique keys

Karimi

Ghazizadeh

Saneie

et al. 2019

Water & Environment J

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Side weirs deflect the approaching flow to the side channel with a specific angle. Considering this angled flow, the oblique shape of side weirs would improve the flow discharge efficiency. In this paper, a Piano Key Side Weir (PKSW) with oblique keys is proposed. Sixteen PKSWs with different key angles were studied in the laboratory, as well as two PKSWs by using CFD modelling. Flow characteristics and discharge coefficients of the proposed side weirs were investigated. Results show that a PKSW with positive key angles can decrease the flow disturbance (a phenomenon usually occurs in symmetric PKSWs), which results in higher discharge coefficients especially in high Froude numbers (F 1 > 0.35). Among the studied PKSWs with oblique keys, the best performance was achieved with a PKSW with 30° key angle. The findings of this study can be used for a better design of PKSWs.

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Section: Introductionmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Experimental and numerical study of a piano key side weir with oblique keys

Karimi

Ghazizadeh

Saneie

et al. 2019

Water & Environment J

View full text Add to dashboard Cite

show abstract

“…Therefore, the study can be counted as a comprehensive literature. Nezami and Nekooie (2015) empirically investigated the discharge coefficient of trapezoidal side weir. They recognized in submerged flow a relationship for De-Marchi's coefficient.…”

Section: Introductionmentioning

confidence: 99%

Predicting the discharge coefficient of oblique cylindrical weir using neural network techniques

et al. 2021

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Cylindrical weir shapes offer a steady-state overflow pattern, where the type of weirs can offer a simple design and provide the ease-to-pass floating debris. This study considers a coefficient of discharge (Cd) prediction for oblique cylindrical weir using three diameters, the first is of D1 = 0.11 m, the second is of D2 = 0.09 m, and the third is of D3 = 0.06.5 m, and three inclination angles with respect to channel axis, the first is of θ1 = 90 ͦ, the second is of θ2 = 45 ͦ, and the third is of θ3 = 30 ͦ. The Cd values for total of 56 experiments are estimated by using the radial basis function network (RBFN), in addition of comparing that with the back-propagation neural network (BPNN) and cascade-forward neural network (CFNN). Root mean square error (RMSE), mean square error (MSE), and correlation coefficient (CC) statics are used as metrics measurements. The RBFN attained superior performance comparing to the other neural networks of BPNN and CFNN. It is found that, for the training stage, the RBFN network benchmarked very small RMSE and MSE values of 1.35E-12 and 1.83E-24, respectively and for the testing stage, it also could benchmark very small RMSE and MSE values of 0.0082 and 6.80E-05, respectively.

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“…Numerous studies have been conducted by different researchers on divert structures. In addition, several researchers such as Ghodsian (2003), Kra and Merkley (2004), Lewis (2011), Granata et al (2013) Azimi et al (2014Azimi et al ( , 2015, Nezami et al (2015), Maranzoni et al (2017) and Karami et al (2018) have carried out some laboratory, analytical and numerical investigations on hydraulic behavior of side weirs. Hussein et al (2010) experimentally studied the parameters affecting the passing discharge through circular sharp-crested side orifices.…”

Section: Introductionmentioning

confidence: 99%

Simulation of discharge coefficient of side weirs placed on convergent canals using modern self-adaptive extreme learning machine

et al. 2020

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Side weirs are broadly used in irrigation channels, drainage systems and sewage disposal canals for controlling and adjusting the flow in main channels. In this study, a new artificial intelligence model entitled "self-adaptive extreme learning machine" (SAELM) is developed for simulating the discharge coefficient of side weirs located upon rectangular channels. Also, the Monte Carlo simulations are implemented for assessing the abilities of the numerical models. It should be noted that the k-fold crossvalidation approach is used for validating the results obtained from the numerical models. Based on the parameters affecting the discharge coefficient, six artificial intelligence models are defined. The examination of the numerical models exhibits that such models simulate the discharge coefficient valued with acceptable accuracy. For instance, mean absolute error and root mean square error for the superior model are computed 0.022 and 0.027, respectively. The best SAELM model predicts the discharge coefficient values in terms of Froude number (F d), ratio of the side weir height to the downstream depth (w/h d), ratio of the channel width at downstream to the downstream depth (b d /h d) and ratio of the side weir length to the downstream depth (L/h d). Based on the sensitivity analysis results, the Froude number of the side weir downstream is identified as the most influencing input parameter. Lastly, a matrix is presented to estimate the discharge coefficient of side weirs on convergent channels.

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Discharge coefficient for trapezoidal side weir

Cited by 21 publications

References 24 publications

Experimental and numerical study of a piano key side weir with oblique keys

Experimental and numerical study of a piano key side weir with oblique keys

Predicting the discharge coefficient of oblique cylindrical weir using neural network techniques

Simulation of discharge coefficient of side weirs placed on convergent canals using modern self-adaptive extreme learning machine

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