Surrogate Model Applied for Analysis of Uncertain Parameters in Turbulent Mixing Flows

The water mixing experiment in the Generic Mixing Experiment (GEMIX) facility performed at the Paul Scherrer Institute is used as a benchmark case to investigate the influence of the main uncertain parameters on the turbulent mixing under isokinetic flow conditions. The benchmark experiment features...

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Autores:
Tipo de recurso:
Book
Fecha de publicación:
2017
Institución:
Universidad de Bogotá Jorge Tadeo Lozano
Repositorio:
Expeditio: repositorio UTadeo
Idioma:
eng
OAI Identifier:
oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/16751
Acceso en línea:
https://www.intechopen.com/books/computational-fluid-dynamics-basic-instruments-and-applications-in-science/surrogate-model-applied-for-analysis-of-uncertain-parameters-in-turbulent-mixing-flows
http://hdl.handle.net/20.500.12010/16751
Palabra clave:
Biología molecular
Mezcla turbulenta
Estimador estadístico óptimo
Simulación CFD
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License
Abierto (Texto Completo)
id UTADEO2_8b8bbcd43f2ef70e90187c60c1c27295
oai_identifier_str oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/16751
network_acronym_str UTADEO2
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dc.title.spa.fl_str_mv Surrogate Model Applied for Analysis of Uncertain Parameters in Turbulent Mixing Flows
title Surrogate Model Applied for Analysis of Uncertain Parameters in Turbulent Mixing Flows
spellingShingle Surrogate Model Applied for Analysis of Uncertain Parameters in Turbulent Mixing Flows
Biología molecular
Mezcla turbulenta
Estimador estadístico óptimo
Simulación CFD
title_short Surrogate Model Applied for Analysis of Uncertain Parameters in Turbulent Mixing Flows
title_full Surrogate Model Applied for Analysis of Uncertain Parameters in Turbulent Mixing Flows
title_fullStr Surrogate Model Applied for Analysis of Uncertain Parameters in Turbulent Mixing Flows
title_full_unstemmed Surrogate Model Applied for Analysis of Uncertain Parameters in Turbulent Mixing Flows
title_sort Surrogate Model Applied for Analysis of Uncertain Parameters in Turbulent Mixing Flows
dc.subject.spa.fl_str_mv Biología molecular
topic Biología molecular
Mezcla turbulenta
Estimador estadístico óptimo
Simulación CFD
dc.subject.lemb.spa.fl_str_mv Mezcla turbulenta
Estimador estadístico óptimo
Simulación CFD
description The water mixing experiment in the Generic Mixing Experiment (GEMIX) facility performed at the Paul Scherrer Institute is used as a benchmark case to investigate the influence of the main uncertain parameters on the turbulent mixing under isokinetic flow conditions. The benchmark experiment features two horizontal water streams with the same inlet velocity that merge together to form a mixing flow inside the larger horizontal square channel. The turbulence intensity and the velocity profile at the inlet were used as the main uncertain input parameters. The selected set of computational fluid dynamics (CFD) simulations based on different combinations of values for uncertain parameters has been performed with the code NEPTUNE_CFD that solves the Reynolds Averaged Navier Stokes (RANS) equations with the k-ε turbulence model. To investigate the influence of the uncertain parameters over a wide range of values, the surrogate model called optimal statistical estimator (OSE) was used to generate the response surface of the results. It has been demonstrated that the OSE method can be successfully applied to build the response surface from a limited set of simulation points. For the two-parameter problem of the current study, only a few CFD simulation points are found sufficient to construct the quality response surface.
publishDate 2017
dc.date.created.none.fl_str_mv 2017-12-20
dc.date.accessioned.none.fl_str_mv 2021-01-19T21:08:18Z
dc.date.available.none.fl_str_mv 2021-01-19T21:08:18Z
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_2f33
format http://purl.org/coar/resource_type/c_2f33
dc.identifier.other.none.fl_str_mv https://www.intechopen.com/books/computational-fluid-dynamics-basic-instruments-and-applications-in-science/surrogate-model-applied-for-analysis-of-uncertain-parameters-in-turbulent-mixing-flows
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12010/16751
dc.identifier.doi.none.fl_str_mv 10.5772/intechopen.70564
url https://www.intechopen.com/books/computational-fluid-dynamics-basic-instruments-and-applications-in-science/surrogate-model-applied-for-analysis-of-uncertain-parameters-in-turbulent-mixing-flows
http://hdl.handle.net/20.500.12010/16751
identifier_str_mv 10.5772/intechopen.70564
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.references.spa.fl_str_mv Boštjan Končar, Andrej Prošek and Matjaž Leskovar (December 20th 2017). Surrogate Model Applied for Analysis of Uncertain Parameters in Turbulent Mixing Flows, Computational Fluid Dynamics - Basic Instruments and Applications in Science, Adela Ionescu, IntechOpen, DOI: 10.5772/intechopen.70564.
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.local.spa.fl_str_mv Abierto (Texto Completo)
dc.rights.creativecommons.none.fl_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
rights_invalid_str_mv Abierto (Texto Completo)
https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
http://purl.org/coar/access_right/c_abf2
dc.format.extent.spa.fl_str_mv 21 páginas
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv IntechOpen
institution Universidad de Bogotá Jorge Tadeo Lozano
bitstream.url.fl_str_mv https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/16751/2/license.txt
https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/16751/1/Surrogate%20Model%20Applied%20for%20Analysis%20of%20Uncertain_16.pdf
https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/16751/3/Surrogate%20Model%20Applied%20for%20Analysis%20of%20Uncertain_16.pdf.jpg
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repository.name.fl_str_mv Repositorio Institucional - Universidad Jorge Tadeo Lozano
repository.mail.fl_str_mv expeditio@utadeo.edu.co
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spelling 2021-01-19T21:08:18Z2021-01-19T21:08:18Z2017-12-20https://www.intechopen.com/books/computational-fluid-dynamics-basic-instruments-and-applications-in-science/surrogate-model-applied-for-analysis-of-uncertain-parameters-in-turbulent-mixing-flowshttp://hdl.handle.net/20.500.12010/1675110.5772/intechopen.7056421 páginasapplication/pdfengIntechOpenBiología molecularMezcla turbulentaEstimador estadístico óptimoSimulación CFDSurrogate Model Applied for Analysis of Uncertain Parameters in Turbulent Mixing FlowsAbierto (Texto Completo)https://creativecommons.org/licenses/by-nc-nd/4.0/legalcodehttp://purl.org/coar/access_right/c_abf2Boštjan Končar, Andrej Prošek and Matjaž Leskovar (December 20th 2017). Surrogate Model Applied for Analysis of Uncertain Parameters in Turbulent Mixing Flows, Computational Fluid Dynamics - Basic Instruments and Applications in Science, Adela Ionescu, IntechOpen, DOI: 10.5772/intechopen.70564.The water mixing experiment in the Generic Mixing Experiment (GEMIX) facility performed at the Paul Scherrer Institute is used as a benchmark case to investigate the influence of the main uncertain parameters on the turbulent mixing under isokinetic flow conditions. The benchmark experiment features two horizontal water streams with the same inlet velocity that merge together to form a mixing flow inside the larger horizontal square channel. The turbulence intensity and the velocity profile at the inlet were used as the main uncertain input parameters. The selected set of computational fluid dynamics (CFD) simulations based on different combinations of values for uncertain parameters has been performed with the code NEPTUNE_CFD that solves the Reynolds Averaged Navier Stokes (RANS) equations with the k-ε turbulence model. To investigate the influence of the uncertain parameters over a wide range of values, the surrogate model called optimal statistical estimator (OSE) was used to generate the response surface of the results. It has been demonstrated that the OSE method can be successfully applied to build the response surface from a limited set of simulation points. For the two-parameter problem of the current study, only a few CFD simulation points are found sufficient to construct the quality response surface.http://purl.org/coar/resource_type/c_2f33Končar, BoštjanProšek, AndrejLeskovar, MatjažLICENSElicense.txtlicense.txttext/plain; charset=utf-82938https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/16751/2/license.txtabceeb1c943c50d3343516f9dbfc110fMD52open accessORIGINALSurrogate Model Applied for Analysis of Uncertain_16.pdfSurrogate Model Applied for Analysis of Uncertain_16.pdfVer documentoapplication/pdf6790695https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/16751/1/Surrogate%20Model%20Applied%20for%20Analysis%20of%20Uncertain_16.pdf54df946ef31f913b31357595224d0837MD51open accessTHUMBNAILSurrogate Model Applied for Analysis of Uncertain_16.pdf.jpgSurrogate Model Applied for Analysis of Uncertain_16.pdf.jpgIM Thumbnailimage/jpeg11607https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/16751/3/Surrogate%20Model%20Applied%20for%20Analysis%20of%20Uncertain_16.pdf.jpgf94e49470bc040d7eddeeca6b23f4786MD53open access20.500.12010/16751oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/167512021-02-03 23:05:50.32open accessRepositorio Institucional - Universidad Jorge Tadeo Lozanoexpeditio@utadeo.edu.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