Determining turbulent flow friction coefficient using adaptive neuro-fuzzy computing technique

DOI10.1016/j.advengsoft.2008.04.006zbMath1406.76042OpenAlexW1971498752MaRDI QIDQ1005572

Gürol Yıldırım, Mehmet Özger

Publication date: 9 March 2009

Published in: Advances in Engineering Software (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.advengsoft.2008.04.006

zbMATH Keywords

fuzzy setsroughnessturbulent flowuncertainty analysisneuro-fuzzyfriction coefficientpipe network analysis

Mathematics Subject Classification ID

Variational methods applied to problems in fluid mechanics (76M30) Turbulence (76F99)

Related Items (5)

Neuro-fuzzy modeling tools for estimation of torque in Savonius rotor wind turbine ⋮ Closure to the discussion of ``Computer-based analysis of explicit approximations to the implicit Colebrook-White equation in turbulent flow friction factor calculation by Dejan Brkić ⋮ A MathCAD procedure for commercial pipeline hydraulic design considering local energy losses ⋮ Computer-based analysis of explicit approximations to the implicit Colebrook-White equation in turbulent flow friction factor calculation ⋮ Neuro-fuzzy approach in estimating Hazen-Williams friction coefficient for small-diameter polyethylene pipes

Uses Software

• ANFIS

Cites Work

• Advanced fuzzy systems design and applications
• Fuzzy identification of systems and its applications to modeling and control
• An experiment in linguistic synthesis with a fuzzy logic controller
• Influence of suspended sediment on the transport processes of nonlinear reactive substances in turbulent streams
• Fuzzy algorithms
• Unnamed Item
• Unnamed Item

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