Mean velocity and suspended sediment concentration profile model of turbulent shear flow with probability density function

This work purposes a general mean velocity and a suspended sediment concentration (SSC) model to express distribution at every point of the cross section of turbulent shear flow by using a probability density function method. The probability density function method was used to describe the velocity...

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Autores:
Wu, Guanglin
Zhu, Liangsheng
Li, Fangcheng
Tipo de recurso:
Article of journal
Fecha de publicación:
2017
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/63575
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/63575
http://bdigital.unal.edu.co/64021/
Palabra clave:
55 Ciencias de la tierra / Earth sciences and geology
Exponential probability density
Mean velocity profile
Concentration profile
River flow
Coastal current
densidad de probabilidad exponencial
perfil de velocidad media
perfil de concentración
corriente de río
corriente costera.
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
id UNACIONAL2_6ed57fdeb30d1edd18e83b9bcfdcbc10
oai_identifier_str oai:repositorio.unal.edu.co:unal/63575
network_acronym_str UNACIONAL2
network_name_str Universidad Nacional de Colombia
repository_id_str
dc.title.spa.fl_str_mv Mean velocity and suspended sediment concentration profile model of turbulent shear flow with probability density function
title Mean velocity and suspended sediment concentration profile model of turbulent shear flow with probability density function
spellingShingle Mean velocity and suspended sediment concentration profile model of turbulent shear flow with probability density function
55 Ciencias de la tierra / Earth sciences and geology
Exponential probability density
Mean velocity profile
Concentration profile
River flow
Coastal current
densidad de probabilidad exponencial
perfil de velocidad media
perfil de concentración
corriente de río
corriente costera.
title_short Mean velocity and suspended sediment concentration profile model of turbulent shear flow with probability density function
title_full Mean velocity and suspended sediment concentration profile model of turbulent shear flow with probability density function
title_fullStr Mean velocity and suspended sediment concentration profile model of turbulent shear flow with probability density function
title_full_unstemmed Mean velocity and suspended sediment concentration profile model of turbulent shear flow with probability density function
title_sort Mean velocity and suspended sediment concentration profile model of turbulent shear flow with probability density function
dc.creator.fl_str_mv Wu, Guanglin
Zhu, Liangsheng
Li, Fangcheng
dc.contributor.author.spa.fl_str_mv Wu, Guanglin
Zhu, Liangsheng
Li, Fangcheng
dc.subject.ddc.spa.fl_str_mv 55 Ciencias de la tierra / Earth sciences and geology
topic 55 Ciencias de la tierra / Earth sciences and geology
Exponential probability density
Mean velocity profile
Concentration profile
River flow
Coastal current
densidad de probabilidad exponencial
perfil de velocidad media
perfil de concentración
corriente de río
corriente costera.
dc.subject.proposal.spa.fl_str_mv Exponential probability density
Mean velocity profile
Concentration profile
River flow
Coastal current
densidad de probabilidad exponencial
perfil de velocidad media
perfil de concentración
corriente de río
corriente costera.
description This work purposes a general mean velocity and a suspended sediment concentration (SSC) model to express distribution at every point of the cross section of turbulent shear flow by using a probability density function method. The probability density function method was used to describe the velocity and concentration profiles interacted on directly by fluid particles in the turbulent shear flow to solve turbulent flow and avoid different dynamical mechanics. The velocity profile model was obtained by solving for the profile integral with the product of the laminar velocity and probability density, through adopting an exponential probability density function to express probability distribution of velocity alteration of a fluid particle in turbulent shear flow. An SSC profile model was also created following a method similar to the above and based on the Schmidt diffusion equation. Different velocity and SSC profiles were created while changing the parameters of the models. The models were verified by comparing the calculated results with traditional models. It was shown that the probability density function model was superior to log-law in predicting stream-wise velocity profiles in coastal currents, and the probability density function SSC profile model was superior to the Rouse equation for predicting average SSC profiles in rivers and estuaries. Outlooks for precision investigation are stated at the end of this article.
publishDate 2017
dc.date.issued.spa.fl_str_mv 2017-07-01
dc.date.accessioned.spa.fl_str_mv 2019-07-02T21:54:57Z
dc.date.available.spa.fl_str_mv 2019-07-02T21:54:57Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/article
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dc.type.coarversion.spa.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.content.spa.fl_str_mv Text
dc.type.redcol.spa.fl_str_mv http://purl.org/redcol/resource_type/ART
format http://purl.org/coar/resource_type/c_6501
status_str publishedVersion
dc.identifier.issn.spa.fl_str_mv ISSN: 2339-3459
dc.identifier.uri.none.fl_str_mv https://repositorio.unal.edu.co/handle/unal/63575
dc.identifier.eprints.spa.fl_str_mv http://bdigital.unal.edu.co/64021/
identifier_str_mv ISSN: 2339-3459
url https://repositorio.unal.edu.co/handle/unal/63575
http://bdigital.unal.edu.co/64021/
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.spa.fl_str_mv https://revistas.unal.edu.co/index.php/esrj/article/view/65172
dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Revistas electrónicas UN Earth Sciences Research Journal
Earth Sciences Research Journal
dc.relation.references.spa.fl_str_mv Wu, Guanglin and Zhu, Liangsheng and Li, Fangcheng (2017) Mean velocity and suspended sediment concentration profile model of turbulent shear flow with probability density function. Earth Sciences Research Journal, 21 (3). pp. 129-134. ISSN 2339-3459
dc.rights.spa.fl_str_mv Derechos reservados - Universidad Nacional de Colombia
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.license.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial 4.0 Internacional
Derechos reservados - Universidad Nacional de Colombia
http://creativecommons.org/licenses/by-nc/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad Nacional de Colombia - Sede Bogotá - Facultad de Ciencias - Departamento de Geociencia
institution Universidad Nacional de Colombia
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spelling Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Wu, Guanglin4cf2aec2-f24c-4c30-8d57-d011cf2097e7300Zhu, Liangsheng681ea4ef-c4d3-49fa-88dd-946b37dde457300Li, Fangcheng979b9567-72c4-45b6-9db1-e2317b45b9983002019-07-02T21:54:57Z2019-07-02T21:54:57Z2017-07-01ISSN: 2339-3459https://repositorio.unal.edu.co/handle/unal/63575http://bdigital.unal.edu.co/64021/This work purposes a general mean velocity and a suspended sediment concentration (SSC) model to express distribution at every point of the cross section of turbulent shear flow by using a probability density function method. The probability density function method was used to describe the velocity and concentration profiles interacted on directly by fluid particles in the turbulent shear flow to solve turbulent flow and avoid different dynamical mechanics. The velocity profile model was obtained by solving for the profile integral with the product of the laminar velocity and probability density, through adopting an exponential probability density function to express probability distribution of velocity alteration of a fluid particle in turbulent shear flow. An SSC profile model was also created following a method similar to the above and based on the Schmidt diffusion equation. Different velocity and SSC profiles were created while changing the parameters of the models. The models were verified by comparing the calculated results with traditional models. It was shown that the probability density function model was superior to log-law in predicting stream-wise velocity profiles in coastal currents, and the probability density function SSC profile model was superior to the Rouse equation for predicting average SSC profiles in rivers and estuaries. Outlooks for precision investigation are stated at the end of this article.Este trabajo propone un modelo de velocidad media general y un modelo de concentración de sedimentos suspendidos (CSS) para expresar la distribución en cada punto de la sección de cruce del flujo turbulento de cizalla mediante el uso de funciones de densidad de probabilidad (PDF).. El método de funciones de densidad de probabilidad se usó para describir los perfiles velocidad y concentración que interactuaron directamente con partículas fluidas en el flujo de desprendimiento turbulento para resolver el flujo turbulento y evitar diferentes mecánicas dinámicas. El modelo del perfil de velocidad se obtuvo resolviendo el perfil integral con el producto de la velocidad laminar y la densidad de probabilidad, mediante la adopción de una función de desidad exponencial  para expresar la probabilidad de distribución de la velocidad de alteración de la partícula de un fluido en un flujo de desprendimiento turbulento. También se creó un modelo de perfil CSS siguiendo un método similar al anterior y basado en la ecuación de difusión Schmidt. Se crearon diferentes perfiles de velocidad y CSS durante el cambio de parámetros de los modelos. Los modelos se verificaron comparando los resultados calculados con los modelos tradicionales. Se demostró que el PDF era superior a la ley logarítmica en la predicción de los perfiles de velocidad en corrientes costeras, y que la probabilidad del modelo del perfil de función de densidad SSC fue superior a la ecuación Rouse para predecir perfiles SSC promedio en ríos y estuarios. Las perspectivas para la investigación de precisión se indican al final de este artículo.application/pdfspaUniversidad Nacional de Colombia - Sede Bogotá - Facultad de Ciencias - Departamento de Geocienciahttps://revistas.unal.edu.co/index.php/esrj/article/view/65172Universidad Nacional de Colombia Revistas electrónicas UN Earth Sciences Research JournalEarth Sciences Research JournalWu, Guanglin and Zhu, Liangsheng and Li, Fangcheng (2017) Mean velocity and suspended sediment concentration profile model of turbulent shear flow with probability density function. Earth Sciences Research Journal, 21 (3). pp. 129-134. ISSN 2339-345955 Ciencias de la tierra / Earth sciences and geologyExponential probability densityMean velocity profileConcentration profileRiver flowCoastal currentdensidad de probabilidad exponencialperfil de velocidad mediaperfil de concentracióncorriente de ríocorriente costera.Mean velocity and suspended sediment concentration profile model of turbulent shear flow with probability density functionArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTORIGINAL65172-352566-2-PB.pdfapplication/pdf714824https://repositorio.unal.edu.co/bitstream/unal/63575/1/65172-352566-2-PB.pdfc37f557a2bd3a5692090469f508b18b9MD51THUMBNAIL65172-352566-2-PB.pdf.jpg65172-352566-2-PB.pdf.jpgGenerated Thumbnailimage/jpeg7729https://repositorio.unal.edu.co/bitstream/unal/63575/2/65172-352566-2-PB.pdf.jpg1026b0e6b0ea798d066a5f72198f81feMD52unal/63575oai:repositorio.unal.edu.co:unal/635752023-04-22 23:05:24.782Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co