Discharge Coefficient of Triangular and Asymmetric Labyrinth Side Weirs Using the Nonlinear PLS Method

Parvaneh, Ali; Kabiri-Samani, Abdorreza; Nekooie, Mohammad Ali

doi:10.1061/(asce)ir.1943-4774.0001081

Cited by 8 publications

(3 citation statements)

References 24 publications

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“…The higher discharge capacity of a piano-key weir compared to that of a linear weir of the same width was attributed to the extended crest. Parvaneh et al (2016) studied the discharge coefficient of an asymmetric, triangular labyrinth side weir by the nonlinear partial least-squares (PLS) method. Using data from more than 200 experiments, the authors proposed a nonlinear equation to determine the emission factors of an asymmetric triangular labyrinth weir based on dimensionless geometric and hydraulic specifications.…”

Section: Introductionmentioning

confidence: 99%

Experimental investigation of the discharge coefficient of labyrinth weirs with asymmetric cycles

Elahifar

Tayari

Yazdanpanah

et al. 2022

WSA

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This study investigated the discharge coefficient in asymmetric rectangular labyrinth weirs. A dimensional analysis was carried out which showed that the discharge coefficient is a function of dimensionless parameters, such as the ratio of asymmetric widths of left and right cycles (wL/wR), the ratio of the total hydraulic head to the weir height (Ht/P), and the weir length ratio (B/wavg). The experimental results for the discharge coefficient were found to decline as wL/wR increased or B/wavg decreased. For wL/wR = 1.19, the ratio B/wavg = 2.76 improves the discharge coefficient by nearly 12.7% compared to B/wavg = 3.1. For wL/wR = 1.42, the ratio B/wavg = 2.76 improves the discharge coefficient by nearly 34.2% compared to B/wavg = 3.1. For wL/wR = 1.70, the ratio B/wavg = 2.76 improves the discharge coefficient by nearly 30% compared to B/wavg = 3.1.

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Section: Introductionmentioning

confidence: 99%

Experimental investigation of the discharge coefficient of labyrinth weirs with asymmetric cycles

Elahifar

Tayari

Yazdanpanah

et al. 2022

WSA

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“…These weirs, in addition to flow measurements, have great potential for depositing sediments (Parsaie et al 2017a, b). Up to now, several types of weirs have been proposed such as labyrinth weir (Kabiri-Samani et al 2013;Parvaneh et al 2016), piano key weir (Kabiri-Samani and Javaheri 2012; Ribeiro et al 2012), duckbill weir (Tajari et al 2018), circular crested weir (Haghiabi 2012;Haghiabi et al 2018;Heidarpour et al 2008). The operating conditions and the Cd are the most important factors that are considered in selecting the type of weirs.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty analysis of discharge coefficient of circular crested weirs

Parsaie

Haghiabi

2021

Appl Water Sci

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The circular crested weir (CCW) has been introduced as weirs having a high discharge coefficient (Cd). The ratio of flow head to the radius of the crest (H/R) is the most important parameter affecting the Cd, that the $${\text{Cd}} \approx a\left( {H/R} \right)^{b}$$ Cd ≈ a H / R b can mathematical model their relation. In this study, the parameters of the Cd formula (i.e., a and b) were uncertainty analyzed using Monte Carlo (MC) and Bootstrap methods (BM). To perform these methods, some of the built-in functions of Excel software were utilized. The results declared that the average values of a and b were 1.187 and 0.140. The outcome of the MC method showed that the range of a and b at 95% confidence interval changed between 1.179 to 1.194 and 0.134 to 0.146, respectively, while at the same confidence interval the BM ranged from 1.187 to 1.200 and 0.133 to 0.147.

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“…Additionally, Novak et al (2013), Granata et al (2013), Emiroglu et al (2014), Azimi et al (2015), Parvaneh et al (2016), Azimi and Shabanlou (2017), Maranzoni et al (2017) and Azimi and Shabanlou (2017) studied hydraulic of the side weirs on the main channels.…”

Section: Introductionmentioning

confidence: 99%

Design of radial basis function-based support vector regression in predicting the discharge coefficient of a side weir in a trapezoidal channel

2019

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In general, trapezoidal channels are used in irrigation and drainage networks. When installing a side weir on the side wall of a trapezoidal channel, as excess water reaches the side weir plane, additional flow from the crest of the side weir is driven into the side channel. The main aim of this study is to predict the discharge coefficient of rectangular side weirs located on trapezoidal channels using support vector machines (SVMs). Based on the effective parameters on the discharge coefficient of side weirs in trapezoidal channels, six different models (SVM 1-SVM 6) are introduced. According to the analysis results of SVM 1-SVM 6 models, the superior model is introduced as a function of the Froude number (Fr), ratio of side weir length to the bottom width of a trapezoidal channel (L/b), ratio of side weir length to the flow depth upstream of the weir (L/y 1 ), side slope of the trapezoidal channel (m) and ratio of flow depth upstream of the weir to the trapezoidal channel bottom width (y 1 /b). Based on the simulation results, the superior model has a reasonable accuracy. For example, the root mean square error, mean absolute relative error and correlation coefficient (R 2 ) values calculated for the superior training model are 0.0156, 0.0327 and 0.884, respectively. Furthermore, the ratio of side weir length to trapezoidal channel bottom width (L/b) is identified as the most effective input parameter for modeling discharge coefficient. Additionally, a matrix is presented for superior model to estimate discharge coefficient of the side weirs.

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Discharge Coefficient of Triangular and Asymmetric Labyrinth Side Weirs Using the Nonlinear PLS Method

Cited by 8 publications

References 24 publications

Experimental investigation of the discharge coefficient of labyrinth weirs with asymmetric cycles

Experimental investigation of the discharge coefficient of labyrinth weirs with asymmetric cycles

Uncertainty analysis of discharge coefficient of circular crested weirs

Design of radial basis function-based support vector regression in predicting the discharge coefficient of a side weir in a trapezoidal channel

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