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Predicting turbulent flow friction coefficient using ANFIS technique

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An Expression of Concern to this article was published on 15 June 2019

An Expression of Concern to this article was published on 15 June 2019

Abstract

The friction coefficient is widely used for technical and economical design of pipes in irrigation, land drainage, urban sewage systems and intake structures. In the present study, the friction factor in pipes is estimated by using adaptive neuro-fuzzy inference system (ANFIS) and grid partition method. The data derived from the Colebrook’s equation were considered for ascertaining the neuro-fuzzy model. Present approach developed an ANFIS technique to predict the friction coefficient as output variable based on pipe relative roughness and Reynold’s number as input variables. The performance of the ANFIS model was evaluated against conventional procedures. Correlation coefficient (R2), root mean squared error and mean absolute error were used as comparing statistical indicators for the assessment of the proposed approach’s performance. It was found that the adaptive neuro-fuzzy inference system model is more accurate than other empirical equations in modeling friction factor.

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Authors and Affiliations

  1. Department of Civil Engineering, University of Sistan and Baluchestan, Zahedan, 9816745639, Iran

    Sara Bardestani & Mohammad Givehchi

  2. Department of Computer, Payame Noor University, P. O. Box 19305, Tehran, Iran

    Emran Younesi

  3. Department of Construction Management, University of Houston, Houston, TX, USA

    Shahin Sajjadi

  4. Department of Information System, Faculty of Computer Science, University of Malaya, 50603, Kuala Lumpur, Malaysia

    Shahaboddin Shamshirband

  5. Department for Mechatronics and Control, Faculty of Mechanical Engineering, University of Niš, Aleksandra Medvedeva 14, 18000, Niš, Serbia

    Dalibor Petkovic

Authors
  1. Sara Bardestani
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  2. Mohammad Givehchi
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  3. Emran Younesi
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  4. Shahin Sajjadi
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  5. Shahaboddin Shamshirband
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  6. Dalibor Petkovic
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Correspondence to Dalibor Petkovic.

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Bardestani, S., Givehchi, M., Younesi, E. et al. Predicting turbulent flow friction coefficient using ANFIS technique. SIViP 11, 341–347 (2017). https://doi.org/10.1007/s11760-016-0948-8

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  • DOI: https://doi.org/10.1007/s11760-016-0948-8

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