Advances in Computational Design

  • 제6권2호
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  • Pages.135-151
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  • 2021
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  • 2383-8477(pISSN)
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  • 2466-0523(eISSN)
테크노프레스 (Techno-Press)
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Discharge coefficient estimation for rectangular side weir using GEP and GMDH methods

  • Hussain, Ajmal (Department of Civil Engineering, Zakir Hussain College of Engineering & Technology, Aligarh Muslim University) ;
  • Shariq, Ali (Department of Civil Engineering, Zakir Hussain College of Engineering & Technology, Aligarh Muslim University) ;
  • Danish, Mohd (Civil Engineering Section, University Polytechnic, Aligarh Muslim University) ;
  • Ansari, Mujib A. (Department of Civil Engineering, Zakir Hussain College of Engineering & Technology, Aligarh Muslim University)
  • 투고 : 2020.06.18
  • 심사 : 2020.12.24
  • 발행 : 2021.04.25
⟨ 이전 논문 다음 논문 ⟩

초록

Flow through the rectangular side weir is a spatially varied type flow with decreasing discharge and used as a flow diversion structure. They are mainly used in the field of hydraulic, irrigation, and environmental engineering for diverting and controlling the flow of water in irrigation-drainage systems, drainage canal systems, and wastewater channels. In this study, gene expression programming and group method of data handling were used to estimate the coefficient of discharge for rectangular side weir under subcritical flow condition. Based on dimensional analysis, the coefficient of the discharge depends on the ratio of the crest height to length, ratio of the width of channel to crest length, ratio of the upstream depth in the channel to crest length and the approach Froude number. The performance of the proposed GMDH and GEP model is based on the coefficient of correlation (0.91), mean absolute percentage error (3.54), average absolute deviation (3.3), root mean square error (0.027) and the coefficient of correlation (0.905), mean absolute percentage error (4.12) average absolute deviation (3.9), root mean square error (0.029), respectively. Finally, the results reveal that GMDH model could provide more satisfactorily estimations as compared to those obtained by traditional regression and GEP models.

키워드

참고문헌

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