Determination of friction factor for corrugated drains
Created by W.Langdon from
gp-bibliography.bib Revision:1.8120
- @Article{Giustolisi:2008:wama,
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author = "Orazio Giustolisi and Angelo Doglioni and
Daniele Laucelli",
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title = "Determination of friction factor for corrugated
drains",
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journal = "Proceedings of the ICE - Water Management",
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year = "2008",
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volume = "161",
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number = "1",
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pages = "31--42",
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month = "1 " # feb,
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keywords = "genetic algorithms, genetic programming, hydraulics,
hydrodynamics, sewers, drains",
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ISSN = "1741-7589",
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DOI = "doi:10.1680/wama.2008.161.1.31",
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size = "12 pages",
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abstract = "This paper describes two approaches for evaluating the
resistance factor of corrugated drains. The first
employs a monomial formula and is based on dimensional
analysis while the second uses a physically based
formula that incorporates the relationships among
hydraulic parameters measured for a set of corrugated
pipes. The latter depends on an evolutionary modelling
technique that renders a superior description of the
hydraulics of the tested corrugated pipes,
outperforming the classical monomial formula for rough
pipes. The formulae derived herein accurately reproduce
experimental data and highlight the influence of
dimensionless factors on roughness values. Three
differently sized corrugated plastic pipes with slopes
ranging between 3.5percent and 17.5percent were
considered. The tests were directed at measuring open
channel flow hydraulic parameters in order to ascertain
the role of friction factors when wake interference
occurs. This hydro dynamic phenomenon, observed in the
tested pipes, is situated in the rough fully turbulent
flow region of the Moody diagram. From a technical
standpoint, wake interference is interesting because
the abnormal turbulence experienced along the channel's
wall-roughness elements generates additional energy
dissipation, entailing potentially significant
implications for sewer networks installed on steep
slopes.",
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notes = "Orazio Giustolisi Professor, Engineering Faculty of
Taranto, Technical University of Bari, Italy Angelo
Doglioni Post-doctoral Research Fellow, Engineering
Faculty of Taranto, Technical University of Bari, Italy
Daniele Laucelli Research Fellow, Engineering Faculty
of Taranto, Technical University of Bari,
Italy
wama161-031.pdf",
- }
Genetic Programming entries for
Orazio Giustolisi
Angelo Doglioni
Daniele B Laucelli
Citations