Optimum Support Vector Regression for Discharge Coefficient of Modified Side Weirs Prediction

Zaji, Amir Hossein; Bonakdari, Hossein

doi:10.1007/s41403-017-0018-8

Cited by 19 publications

(3 citation statements)

References 47 publications

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“…Mohammed & Sharifi (2020) proposed using the GEP to predict discharge coefficient for oblique side weir. Zhou et al (2015), Zaji et al (2016), Zaji & Bonakdari (2017), Roushangar et al (2017), Nadiri et al (2018), MajediAsl & Fuladipanah (2019, Sadeghfam et al (2019), Kumar et al (2019) and Roushangar et al (2021) proposed to evaluate discharge coefficient using data-driven methods.…”

Section: Introductionmentioning

confidence: 99%

Using data mining methods to improve discharge coefficient prediction in Piano Key and Labyrinth weirs

et al. 2021

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As a remarkable parameter, the discharge coefficient (Cd) plays an important role in determining weirs' passing capacity. In this research work, the SVM and the GEP algorithms were assessed to predict Cd of piano key weir (PKW), rectangular labyrinth weir (RLW), and trapezoidal labyrinth weir (TLW) with gathered experimental data set. Using dimensional analysis, various combinations of hydraulic and geometric non-dimensional parameters were extracted to perform simulation. The superior model for the SVM and the GEP predictor for PKW, RLW, and TLW included , and respectively. The results showed that both algorithms are potential in predicting discharge coefficient, but the coefficient of determination (RMSE, R2, Cd(DDR)max) illustrated the superiority of the GEP performance over the SVM. The results of the sensitivity analysis determined the highest effective parameters for PKW, RLW, and TLW in predicting discharge coefficients are , , and Fr respectively.

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Section: Introductionmentioning

confidence: 99%

Using data mining methods to improve discharge coefficient prediction in Piano Key and Labyrinth weirs

et al. 2021

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“…Many researchers recognized the application of soft computing techniques in order to predict the hydraulic characteristics of nonlinear weirs. Zaji et al (2016) and Zaji and Bonakdari (2017) modelled the discharge coefficient of modified labyrinth side weirs with support vector regression method by using various kernel functions. Multiple combinations of input variables are tried in order to obtain maximum accuracy in output estimation; the results were found encouraging with RBF and polynomial kernels.…”

Section: Introductionmentioning

confidence: 99%

Experimental study and modelling discharge coefficient of trapezoidal and rectangular piano key weirs

et al. 2020

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Crest length is an important parameter in influencing the discharge handling capacity of a weir. Nonlinear weirs with longer crests are cost effective alternatives for those existing dam structures which are more susceptible to failure due to loss of storage capacity by reservoir silting problem, and insufficiency of the structure in evacuating the updated flow due to the limited space. Piano key weir is a type of nonlinear weir designed in the form of piano keys, over-hanged from both the upstream and the downstream with sloping floors founded on a base or footprint. These weirs can be easily placed over gravity dams due to smaller footprint than labyrinth weirs. The present study's focus is on the comparative analysis of identical configurations of trapezoidal and rectangular piano key (PK) weirs. The importance of (crest length to width) L/W ratio and weir height (P) in affecting the discharge efficiency of both types of PK weirs is investigated in the experimental study. Furthermore, soft computing approaches are applied to the current data set obtained from both types of weirs by considering discharge coefficient (C d) as a function of dimensionless geometric variables of PK weirs. The modelling performance of random forest regression and M5 tree approach is tested in order to estimate the values of discharge coefficient. The results conclude higher predictive accuracy of random forest model over M5 tree model. Keywords Trapezoidal piano key weir • Rectangular piano key weir • Discharge coefficient • M5 model tree • Random forest regression

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“…The weir constructed parallel to the flow direction along with the main channel on the channel wall are referred to side weir (Izadinia and Heidarpour 2016). The main tasks of the lateral weirs are to discharge the excess water from the main channel in the municipal sewer systems, distribution channels, and to control the river flooding and regulate the water level (Zaji and Bonakdari 2017). Side weirs can exhibit different behaviors depending on the position and type of weir (Oertel 2015).…”

Section: Introductionmentioning

confidence: 99%

Experimental study and performance comparison on various types of rectangular piano key side weirs at a 120° section of a 180° curved channel

2020

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Application of side weirs with high effective length is necessary to discharge excessive flows, to control the flow in water conveyance systems, and irrigation and drainage systems. Most of the studies on the side weirs have been conducted on the straight channels and linear weirs. The flow pattern on the outer arc of the curved channels and its suitability for side weir can be used and combined with the piano key weirs. So far, no comparison has been made on rectangular piano key side weirs (RPKSW) at a 120° Section of a 180° Curved Channel. In this study, an experimental study was performed on A-, B-, C-, and D-type RPKSW at a bend angle of 120 degrees. The results showed that the specific energy at two ends of the RPKSWs was the same, with a slight difference of 3.4% for A-Type, 1.3% for B-Type, 1.1% for C-Type, and 1.8% for D-Type weirs. The discharge coefficients of the studied weirs were also investigated, and it was concluded that B-Type weir has better performance than other weirs. On average, the discharge coefficient of B-Type weir was 9.9%, 21.2%, and 24.1% higher than that of A-Type, C-Type, and D-Type weir, respectively. It was shown that the ratio of P/h1 is the main parameter affecting the weir discharge coefficient. Finally, an empirical equation was proposed for each weir. The proposed equation has MAE = 0.028 for A-Type weir, MAE = 0.041 for B-Type weir, MAE = 0.049 for C-Type weir, and MAE = 0.053 for D-Type weir.

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Optimum Support Vector Regression for Discharge Coefficient of Modified Side Weirs Prediction

Cited by 19 publications

References 47 publications

Using data mining methods to improve discharge coefficient prediction in Piano Key and Labyrinth weirs

Using data mining methods to improve discharge coefficient prediction in Piano Key and Labyrinth weirs

Experimental study and modelling discharge coefficient of trapezoidal and rectangular piano key weirs

Experimental study and performance comparison on various types of rectangular piano key side weirs at a 120° section of a 180° curved channel

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