Investigation of Discharge Coefficient of Triangular Duckbill Labyrinth Weirs Using Fluent Software and Gray Wolf and Elections Algorithms

Labyrinth weirs are important hydraulic structures for water level regulation and flow control in canals, rivers, and reservoirs. Due to the uneven distribution of hydraulic head on the weir crest, the discharge coefficient changes along the labyrinth weirs are noticeable. For optimal use of this ty...

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Main Authors: Somayeh Emami, Javad Parsa, Hojjat Emami, Akram Abbaspour
Format: Article
Language:fas
Published: University of Qom 2021-02-01
Series:پژوهش‌های زیرساخت‌های عمرانی
Subjects:
Online Access:https://cer.qom.ac.ir/article_1877_02e2c271af9298bedacbafa1872a4614.pdf
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author Somayeh Emami
Javad Parsa
Hojjat Emami
Akram Abbaspour
author_facet Somayeh Emami
Javad Parsa
Hojjat Emami
Akram Abbaspour
author_sort Somayeh Emami
collection DOAJ
description Labyrinth weirs are important hydraulic structures for water level regulation and flow control in canals, rivers, and reservoirs. Due to the uneven distribution of hydraulic head on the weir crest, the discharge coefficient changes along the labyrinth weirs are noticeable. For optimal use of this type of weir, it is necessary to estimate the discharge coefficient. In this regard, in this study, using a data set including 120 experimental data collected by Kumar et al. (2011) and numerical (simulated by FLUENT software using k-ε RNG turbulence model) to optimally estimate the discharge coefficient of triangular-duckbill labyrinth weir embedded in a rectangular channel 0.28 m wide, 12 m long and 0.41 m high was addressed using modern gray wolf meta-heuristic (GWO) and election (EA) algorithms. To investigate the effect of discharge coefficient, angles of 30, 60, 90, 120, 150 and 180 degrees with weir height of 10 cm were selected and the flow conditions in all cases were considered as subcritical, turbulent and falling flow. The objective function is the sum of the squares of the difference between the computational flow and the observations defined as the minimum. Comparison of the results of GWO and EA algorithms and FLUENT software with values of R2=0.96 and NRMSE=0.052 in comparison with the observed values, shows a good agreement between the observed and computational values.
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spelling doaj.art-4ffca07f204d459684e5dacca271953c2024-03-31T19:58:21ZfasUniversity of Qomپژوهش‌های زیرساخت‌های عمرانی2783-140X2021-02-016210712110.22091/cer.2021.6942.12501877Investigation of Discharge Coefficient of Triangular Duckbill Labyrinth Weirs Using Fluent Software and Gray Wolf and Elections AlgorithmsSomayeh Emami0Javad Parsa1Hojjat Emami2Akram Abbaspour3Water Engineering Department of TabrizWater Engineering Department, University of TabrizAssistant Professor of Computer Engineering, Faculty of Engineering, University of BonabAssociate Professor, Department of Water Engineering, University of TabrizLabyrinth weirs are important hydraulic structures for water level regulation and flow control in canals, rivers, and reservoirs. Due to the uneven distribution of hydraulic head on the weir crest, the discharge coefficient changes along the labyrinth weirs are noticeable. For optimal use of this type of weir, it is necessary to estimate the discharge coefficient. In this regard, in this study, using a data set including 120 experimental data collected by Kumar et al. (2011) and numerical (simulated by FLUENT software using k-ε RNG turbulence model) to optimally estimate the discharge coefficient of triangular-duckbill labyrinth weir embedded in a rectangular channel 0.28 m wide, 12 m long and 0.41 m high was addressed using modern gray wolf meta-heuristic (GWO) and election (EA) algorithms. To investigate the effect of discharge coefficient, angles of 30, 60, 90, 120, 150 and 180 degrees with weir height of 10 cm were selected and the flow conditions in all cases were considered as subcritical, turbulent and falling flow. The objective function is the sum of the squares of the difference between the computational flow and the observations defined as the minimum. Comparison of the results of GWO and EA algorithms and FLUENT software with values of R2=0.96 and NRMSE=0.052 in comparison with the observed values, shows a good agreement between the observed and computational values.https://cer.qom.ac.ir/article_1877_02e2c271af9298bedacbafa1872a4614.pdfflow controloptimizationmeta-heuristic algorithmsturbulence model
spellingShingle Somayeh Emami
Javad Parsa
Hojjat Emami
Akram Abbaspour
Investigation of Discharge Coefficient of Triangular Duckbill Labyrinth Weirs Using Fluent Software and Gray Wolf and Elections Algorithms
پژوهش‌های زیرساخت‌های عمرانی
flow control
optimization
meta-heuristic algorithms
turbulence model
title Investigation of Discharge Coefficient of Triangular Duckbill Labyrinth Weirs Using Fluent Software and Gray Wolf and Elections Algorithms
title_full Investigation of Discharge Coefficient of Triangular Duckbill Labyrinth Weirs Using Fluent Software and Gray Wolf and Elections Algorithms
title_fullStr Investigation of Discharge Coefficient of Triangular Duckbill Labyrinth Weirs Using Fluent Software and Gray Wolf and Elections Algorithms
title_full_unstemmed Investigation of Discharge Coefficient of Triangular Duckbill Labyrinth Weirs Using Fluent Software and Gray Wolf and Elections Algorithms
title_short Investigation of Discharge Coefficient of Triangular Duckbill Labyrinth Weirs Using Fluent Software and Gray Wolf and Elections Algorithms
title_sort investigation of discharge coefficient of triangular duckbill labyrinth weirs using fluent software and gray wolf and elections algorithms
topic flow control
optimization
meta-heuristic algorithms
turbulence model
url https://cer.qom.ac.ir/article_1877_02e2c271af9298bedacbafa1872a4614.pdf
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AT javadparsa investigationofdischargecoefficientoftriangularduckbilllabyrinthweirsusingfluentsoftwareandgraywolfandelectionsalgorithms
AT hojjatemami investigationofdischargecoefficientoftriangularduckbilllabyrinthweirsusingfluentsoftwareandgraywolfandelectionsalgorithms
AT akramabbaspour investigationofdischargecoefficientoftriangularduckbilllabyrinthweirsusingfluentsoftwareandgraywolfandelectionsalgorithms