Some explicit formulations of Colebrook-White friction factor considering accuracy vs. computational speed
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @Article{Giustolisi:2011:JH,
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author = "O. Giustolisi and L. Berardi and T. M. Walski",
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title = "Some explicit formulations of {Colebrook-White}
friction factor considering accuracy vs. computational
speed",
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journal = "Journal of Hydroinformatics",
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year = "2011",
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volume = "13",
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number = "3",
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pages = "401--418",
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month = jul,
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keywords = "genetic algorithms, genetic programming, Colebrook
White formula, computational speed, evolutionary
polynomial regression, friction factor, pipe flow",
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ISSN = "1464-7141",
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URL = "https://iwaponline.com/jh/article-pdf/13/3/401/386543/401.pdf",
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DOI = "doi:10.2166/hydro.2010.098",
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size = "18 pages",
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abstract = "The Colebrook-White formulation of the friction factor
is implicit and requires some iterations to be solved
given a correct initial search value and a target
accuracy. Some new explicit formulations to efficiently
calculate the Colebrook White friction factor are
presented herein. The aim of this investigation is
twofold: (i) to preserve the accuracy of estimates
while (ii) reducing the computational burden (i.e.
speed). On the one hand, the computational
effectiveness is important when the intensive
calculation of the friction factor (e.g. large-size
water distribution networks (WDN) in optimisation
problems, flooding software, etc.) is required together
with its derivative. On the other hand, the accuracy of
the developing formula should be realistically chosen
considering the remaining uncertainties surrounding the
model where the friction factor is used. In the
following, three strategies for friction factor mapping
are proposed which were achieved by using the
Evolutionary Polynomial Regression (EPR). The result is
the encapsulation of some pieces of the friction factor
implicit formulae within pseudo-polynomial
structures.",
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notes = "IWA Publishing",
- }
Genetic Programming entries for
Orazio Giustolisi
Luigi Berardi
Thomas M Walski
Citations