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...
- 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
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oai:repositorio.unal.edu.co:unal/63575 |
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UNACIONAL2 |
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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 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
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 |
bitstream.url.fl_str_mv |
https://repositorio.unal.edu.co/bitstream/unal/63575/1/65172-352566-2-PB.pdf https://repositorio.unal.edu.co/bitstream/unal/63575/2/65172-352566-2-PB.pdf.jpg |
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Repositorio Institucional Universidad Nacional de Colombia |
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repositorio_nal@unal.edu.co |
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1814089889380040704 |
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 |