Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/12183
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dc.contributor.authorHazar, Oğuzen_US
dc.contributor.authorTayfur, Gökmenen_US
dc.contributor.authorElçi, Şebnemen_US
dc.contributor.authorSingh, Vijay P.en_US
dc.date.accessioned2022-07-22T06:41:33Z-
dc.date.available2022-07-22T06:41:33Z-
dc.date.issued2022-03-
dc.identifier.urihttps://doi.org/10.3390/w14060972-
dc.identifier.urihttps://hdl.handle.net/11147/12183-
dc.description.abstractEstimation of withdrawal water and filtered sediment amounts are important to obtain maximum efficiency from an intake structure. The purpose of this study is to develop empirical equations to predict Water Capturing Performance (WCP) and Sediment Release Efficiency (SRE) for Coanda type intakes. These equations were developed using 216 sets of experimental data. Intakes were tested under six different slopes, six screens, and three water discharges. In SRE experiments, sediment concentration was kept constant. Dimensionless parameters were first developed and then subjected to multicollinearity analysis. Then, nonlinear equations were proposed whose exponents and coefficients were obtained using the Genetic Algorithm method. The equations were calibrated and validated with 70 and 30% of the data, respectively. The validation results revealed that the empirical equations produced low MAE and RMSE and high R2 values for both the WCP and the SRE. Results showed outperformance of the empirical equations against those of MNLR. Sensitivity analysis carried out by the ANNs revealed that the geometric parameters of the intake were comparably more sensitive than the flow characteristics.en_US
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.relation.ispartofWater (Switzerland)en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectANNen_US
dc.subjectCalibrationen_US
dc.subjectCoanda intakeen_US
dc.subjectMulticollinearity analysisen_US
dc.titleDeveloping predictive equations for water capturing performance and sediment release efficiency for coanda intakes using artificial intelligence methodsen_US
dc.typeArticleen_US
dc.authorid0000-0002-2576-1856en_US
dc.authorid0000-0001-9712-4031en_US
dc.authorid0000-0002-9306-1042en_US
dc.institutionauthorHazar, Oğuzen_US
dc.institutionauthorTayfur, Gökmenen_US
dc.institutionauthorElçi, Şebnemen_US
dc.departmentİzmir Institute of Technology. Civil Engineeringen_US
dc.identifier.wosWOS:000774283700001en_US
dc.identifier.scopus2-s2.0-85127325496en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.3390/w14060972-
dc.contributor.affiliationIzmir Institute of Technologyen_US
dc.contributor.affiliationIzmir Institute of Technologyen_US
dc.contributor.affiliationIzmir Institute of Technologyen_US
dc.contributor.affiliationTexas A&M Universityen_US
dc.relation.issn2073-4441en_US
dc.description.volume14en_US
dc.description.issue6en_US
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.openairetypeArticle-
item.cerifentitytypePublications-
crisitem.author.dept03.03. Department of Civil Engineering-
crisitem.author.dept03.03. Department of Civil Engineering-
Appears in Collections:Civil Engineering / İnşaat Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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