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Review of new flow friction equations: Constructing Colebrook's explicit correlations accurately

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F20%3A10246479" target="_blank" >RIV/61989100:27740/20:10246479 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.23967/j.rimni.2020.09.001" target="_blank" >https://doi.org/10.23967/j.rimni.2020.09.001</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.23967/j.rimni.2020.09.001" target="_blank" >10.23967/j.rimni.2020.09.001</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Review of new flow friction equations: Constructing Colebrook's explicit correlations accurately

  • Original language description

    Using only a limited number of computationally expensive functions, we show a way how to construct accurate and computationally efficient approximations of the Colebrook equation for flow friction based on the asymptotic series expansion of the Wright w-function and on symbolic regression. The results are verified with 8 million of Quasi-Monte Carlo points covering the domain of interest for engineers. In comparison with the built-in &quot;wrightOmega&quot; feature of Matlab R2016a, the herein introduced related approximations of the Wright omega-function significantly accelerate the explicit solution of the Colebrook equation. Such balance between speed and accuracy could be achieved only using symbolic regression, a computational intelligence approach that can find optimal coefficients and the best structure of the equation. The presented numerical experiments show that the novel symbolic regression approximation reduced the maximal relative error from 0.045% to 0.00337%, i.e. more than 13 times, even the complexity remains almost unchanged. Moreover, we also provide a novel highly precise symbolic regression approximation (max. relative error 0.000024%), which, for the same speed as asymptotic expansion, reduces the relative error by factor 219. This research is motivated by estimation of flow rate using electrical parameters of pumps where direct measurement is not always possible such as in offshore underwater pipelines.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10100 - Mathematics

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Revista Internacional de Metodos Numericos para Calculo y Diseno en Ingenieria

  • ISSN

    0213-1315

  • e-ISSN

  • Volume of the periodical

    36

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    ES - SPAIN

  • Number of pages

    8

  • Pages from-to

  • UT code for WoS article

    000595371000003

  • EID of the result in the Scopus database