Numerical Modeling of Venturi Flume

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dc.authoridDursun, Omer Faruk/0000-0003-3923-5205
dc.authoridMohammadian, Abdolmajid/0000-0001-5381-8189
dc.authoridNISTOR, Ioan/0000-0001-8436-4781
dc.authorwosidDursun, Omer Faruk/AAA-8464-2020
dc.authorwosidMohammadian, Abdolmajid/A-2995-2015
dc.contributor.authorHeyrani, Mehdi
dc.contributor.authorMohammadian, Abdolmajid
dc.contributor.authorNistor, Ioan
dc.contributor.authorDursun, Omerul Faruk
dc.date.accessioned2024-08-04T20:49:17Z
dc.date.available2024-08-04T20:49:17Z
dc.date.issued2021
dc.departmentİnönü Üniversitesien_US
dc.description.abstractIn order to measure flow rate in open channels, including irrigation channels, hydraulic structures are used with a relatively high degree of reliance. Venturi flumes are among the most common and efficient type, and they can measure discharge using only the water level at a specific point within the converging section and an empirical discharge relationship. There have been a limited number of attempts to simulate a venturi flume using computational fluid dynamics (CFD) tools to improve the accuracy of the readings and empirical formula. In this study, simulations on different flumes were carried out using a total of seven different models, including the standard k-epsilon, RNG k-epsilon, realizable k-epsilon, k-omega, and k-omega SST models. Furthermore, large-eddy simulation (LES) and detached eddy simulation (DES) were performed. Comparison of the simulated results with physical test data shows that among the turbulence models, the k-epsilon model provides the most accurate results, followed by the dynamic k LES model when compared to the physical experimental data. The overall margin of error was around 2-3%, meaning that the simulation model can be reliably used to estimate the discharge in the channel. In different cross-sections within the flume, the k-epsilon model provides the lowest percentage of error, i.e., 1.93%. This shows that the water surface data are well calculated by the model, as the water surface profiles also follow the same vertical curvilinear path as the experimental data.en_US
dc.identifier.doi10.3390/hydrology8010027
dc.identifier.issn2306-5338
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85100965492en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.3390/hydrology8010027
dc.identifier.urihttps://hdl.handle.net/11616/99766
dc.identifier.volume8en_US
dc.identifier.wosWOS:000633124100001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherMdpien_US
dc.relation.ispartofHydrologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectventuri flumeen_US
dc.subjectCFDen_US
dc.subjectOpenFOAMen_US
dc.subjectRANSen_US
dc.subjectturbulence modelen_US
dc.subjectnumerical simulationen_US
dc.subjectParshall flumeen_US
dc.titleNumerical Modeling of Venturi Flumeen_US
dc.typeArticleen_US

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