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A New Approach to Estimate the Discharge Coefficient in Sharp-Crested Rectangular Side Orifices Using Gene Expression Programming

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Book cover Intelligent Computing (SAI 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1230))

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Abstract

Structures, such as side orifices are used for controlling the flow within a diversion channel or for directing the flow into one. In this study, an equation for estimating discharge coefficient is introduced using “gene expression programming” (GEP). In order to estimate the discharge coefficient, four dimensionless parameters including ratio of depth of flow in main channel to the width of rectangular orifice (Ym/L), Froude number (Fr), the ratio of sill height to the width of rectangular orifice (W/L) and the ratio of the width of the main channel to the width of the rectangular orifice (B/L) are used to present five different models. Therefore, the lacks of effect of each dimensionless parameter on the discharge coefficient predictions are reviewed. The results obtained from the carried out studies indicated that the best model presented in this study estimated the discharge coefficient fairly well with a relative error of 3% against experimental data.

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Author information

Authors and Affiliations

  1. Department of Soils and Agri‐Food Engineering, Laval University, Quebec City, QC, G1V0A6, Canada

    Hossein Bonakdari

  2. School of Engineering, University of Guelph, Guelph, ON, NIG 2W1, Canada

    Bahram Gharabaghi

  3. Environmental Research Center, Razi University, Kermanshah, Iran

    Isa Ebtehaj & Ali Sharifi

Authors
  1. Hossein Bonakdari
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  2. Bahram Gharabaghi
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  3. Isa Ebtehaj
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  4. Ali Sharifi
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Corresponding author

Correspondence to Hossein Bonakdari .

Editor information

Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Rahul Bhatia

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Bonakdari, H., Gharabaghi, B., Ebtehaj, I., Sharifi, A. (2020). A New Approach to Estimate the Discharge Coefficient in Sharp-Crested Rectangular Side Orifices Using Gene Expression Programming. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Computing. SAI 2020. Advances in Intelligent Systems and Computing, vol 1230. Springer, Cham. https://doi.org/10.1007/978-3-030-52243-8_7

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