Discharge coefficient for vertical sluice gate under submerged condition using contraction and energy loss coefficients
| dc.contributor.author | Babak Vaheddoost | |
| dc.contributor.author | Mir Jafar Sadegh Safari | |
| dc.contributor.author | Rasoul Ilkhanipour Zeynali | |
| dc.contributor.author | Zeynali, Rasoul Ilkhanipour | |
| dc.contributor.author | Vaheddoost, Babak | |
| dc.contributor.author | Ilkhanipour Zeynali, Rasoul | |
| dc.contributor.author | Safari, Mir Jafar Sadegh | |
| dc.date.accessioned | 2025-10-06T17:50:23Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | A novel method is suggested for the determination of flow discharge in vertical sluice gates with considerably small bias. First in order to derive an equation for the discharge coefficient energy-momentum equations are implemented to define the physical realization of the phenomenon. Afterward the discharge coefficient is presented in terms of contraction and energy loss coefficients. Subsequently discharge coefficient contraction and energy loss coefficients were determined through an implicit optimization technique on the data. Data analysis illustrated that there is a meaningful power relationship between the contraction and energy loss coefficients. Thereafter dimensional analysis is performed and an explicit best-fit regression equation is developed for defining the energy loss coefficient. The obtained equations for contraction and energy loss coefficients were then used in the computation of the discharge coefficient and determination of the flow discharge in the vertical sluice gate. The performance of the developed approach is validated against the selected benchmarks existing in the literature. © 2021 Elsevier B.V. All rights reserved. | |
| dc.identifier.doi | 10.1016/j.flowmeasinst.2021.102007 | |
| dc.identifier.issn | 09555986 | |
| dc.identifier.issn | 0955-5986 | |
| dc.identifier.issn | 1873-6998 | |
| dc.identifier.scopus | 2-s2.0-85109582902 | |
| dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85109582902&doi=10.1016%2Fj.flowmeasinst.2021.102007&partnerID=40&md5=e449a6b6b98f2a8fd82236e40924f7a6 | |
| dc.identifier.uri | https://gcris.yasar.edu.tr/handle/123456789/8931 | |
| dc.identifier.uri | https://doi.org/10.1016/j.flowmeasinst.2021.102007 | |
| dc.language.iso | English | |
| dc.publisher | Elsevier Ltd | |
| dc.relation.ispartof | Flow Measurement and Instrumentation | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.source | Flow Measurement and Instrumentation | |
| dc.subject | Contraction Coefficient, Discharge Coefficient, Energy Loss Coefficient, Multivariate Adaptive Regression Spline, Open Channel, Vertical Sluice Gate, Benchmarking, Dams, Flowmeters, Hydraulic Gates, Dimensional Analysis, Discharge Coefficients, Energy Momentum, Loss Coefficients, Optimization Techniques, Physical Realization, Regression Equation, Submerged Condition, Energy Dissipation | |
| dc.subject | Benchmarking, Dams, Flowmeters, Hydraulic gates, Dimensional analysis, Discharge coefficients, Energy momentum, Loss coefficients, Optimization techniques, Physical realization, Regression equation, Submerged condition, Energy dissipation | |
| dc.subject | Vertical Sluice Gate | |
| dc.subject | Open Channel | |
| dc.subject | Contraction Coefficient | |
| dc.subject | Energy Loss Coefficient | |
| dc.subject | Multivariate Adaptive Regression Spline | |
| dc.subject | Discharge Coefficient | |
| dc.title | Discharge coefficient for vertical sluice gate under submerged condition using contraction and energy loss coefficients | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| gdc.author.id | Vaheddoost, Babak/0000-0002-4767-6660 | |
| gdc.author.id | Safari, Mir Jafar Sadegh/0000-0003-0559-5261 | |
| gdc.author.scopusid | 56047228600 | |
| gdc.author.scopusid | 57113743700 | |
| gdc.author.scopusid | 59160090200 | |
| gdc.author.wosid | Safari, Mir Jafar Sadegh/A-4094-2019 | |
| gdc.author.wosid | Vaheddoost, Babak/M-6824-2018 | |
| gdc.bip.impulseclass | C4 | |
| gdc.bip.influenceclass | C4 | |
| gdc.bip.popularityclass | C4 | |
| gdc.coar.type | text::journal::journal article | |
| gdc.collaboration.industrial | false | |
| gdc.description.department | ||
| gdc.description.departmenttemp | [Vaheddoost, Babak] Bursa Tech Univ, Dept Civil Engn, Bursa, Turkey; [Safari, Mir Jafar Sadegh] Yasar Univ, Dept Civil Engn, Izmir, Turkey; [Zeynali, Rasoul Ilkhanipour] Urmia Univ, Dept Water Engn, Orumiyeh, Iran | |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| gdc.description.startpage | 102007 | |
| gdc.description.volume | 80 | |
| gdc.description.woscitationindex | Science Citation Index Expanded | |
| gdc.identifier.openalex | W3180183422 | |
| gdc.identifier.wos | WOS:000687404400002 | |
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| gdc.index.type | WoS | |
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| gdc.oaire.impulse | 11.0 | |
| gdc.oaire.influence | 3.3143974E-9 | |
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| gdc.oaire.keywords | Contraction coefficient | |
| gdc.oaire.keywords | Multivariate adaptive regression spline | |
| gdc.oaire.keywords | Energy loss coefficien | |
| gdc.oaire.keywords | Open channel | |
| gdc.oaire.keywords | Discharge coefficient | |
| gdc.oaire.keywords | Vertical sluice gate | |
| gdc.oaire.popularity | 1.1967553E-8 | |
| gdc.oaire.publicfunded | false | |
| gdc.oaire.sciencefields | 0208 environmental biotechnology | |
| gdc.oaire.sciencefields | 0207 environmental engineering | |
| gdc.oaire.sciencefields | 02 engineering and technology | |
| gdc.openalex.collaboration | International | |
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| gdc.opencitations.count | 13 | |
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| gdc.plumx.scopuscites | 14 | |
| gdc.scopus.citedcount | 14 | |
| gdc.virtual.author | Safari, Mir Jafar Sadegh | |
| gdc.wos.citedcount | 12 | |
| person.identifier.scopus-author-id | Vaheddoost- Babak (57113743700), Safari- Mir Jafar Sadegh (56047228600), Ilkhanipour Zeynali- Rasoul (59160090200) | |
| publicationvolume.volumeNumber | 80 | |
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