Long-term memory in experiments and numerical simulations of hydrodynamic and magnetohydrodynamic turbulence

Autores
Mininni, Pablo Daniel; Dmitruk, Pablo Ariel; Odier, P.; Pinton, J. F.; Plihon, N.; Verhille, G.; Volk, R.; Bourgoin, M.
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
We analyze time series stemming from experiments and direct numerical simulations of hydrodynamic and magnetohydrodynamic turbulence. Simulations are done in periodic boxes, but with a volumetric forcing chosen to mimic the geometry of the flow in the experiments, the von Kármán swirling flow between two counterrotating impellers. Parameters in the simulations are chosen to (within computational limitations) allow comparisons between the experiments and the numerical results. Conducting fluids are considered in all cases. Two different configurations are considered: a case with a weak externally imposed magnetic field and a case with self-sustained magnetic fields. Evidence of long-term memory and 1 / f noise is observed in experiments and simulations, in the case with weak magnetic field associated with the hydrodynamic behavior of the shear layer in the von Kármán flow, and in the dynamo case associated with slow magnetohydrodynamic behavior of the large-scale magnetic field.
Fil: Mininni, Pablo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina
Fil: Dmitruk, Pablo Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina
Fil: Odier, P.. Ecole Normale Suprieure de Lyon; Francia
Fil: Pinton, J. F.. Ecole Normale Suprieure de Lyon; Francia
Fil: Plihon, N.. Ecole Normale Suprieure de Lyon; Francia
Fil: Verhille, G.. Aix-Marseille Universite; Francia
Fil: Volk, R.. Ecole Normale Suprieure de Lyon; Francia
Fil: Bourgoin, M.. Université de Grenoble; Francia
Materia
Turbulence
Magnetohydrodynamics
Low-frequency
Fluctuations
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/29460
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Long-term memory in experiments and numerical simulations of hydrodynamic and magnetohydrodynamic turbulenceMininni, Pablo DanielDmitruk, Pablo ArielOdier, P.Pinton, J. F.Plihon, N.Verhille, G.Volk, R.Bourgoin, M.TurbulenceMagnetohydrodynamicsLow-frequencyFluctuationshttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1We analyze time series stemming from experiments and direct numerical simulations of hydrodynamic and magnetohydrodynamic turbulence. Simulations are done in periodic boxes, but with a volumetric forcing chosen to mimic the geometry of the flow in the experiments, the von Kármán swirling flow between two counterrotating impellers. Parameters in the simulations are chosen to (within computational limitations) allow comparisons between the experiments and the numerical results. Conducting fluids are considered in all cases. Two different configurations are considered: a case with a weak externally imposed magnetic field and a case with self-sustained magnetic fields. Evidence of long-term memory and 1 / f noise is observed in experiments and simulations, in the case with weak magnetic field associated with the hydrodynamic behavior of the shear layer in the von Kármán flow, and in the dynamo case associated with slow magnetohydrodynamic behavior of the large-scale magnetic field.Fil: Mininni, Pablo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; ArgentinaFil: Dmitruk, Pablo Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; ArgentinaFil: Odier, P.. Ecole Normale Suprieure de Lyon; FranciaFil: Pinton, J. F.. Ecole Normale Suprieure de Lyon; FranciaFil: Plihon, N.. Ecole Normale Suprieure de Lyon; FranciaFil: Verhille, G.. Aix-Marseille Universite; FranciaFil: Volk, R.. Ecole Normale Suprieure de Lyon; FranciaFil: Bourgoin, M.. Université de Grenoble; FranciaAmerican Physical Society2014-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/29460Mininni, Pablo Daniel; Dmitruk, Pablo Ariel; Odier, P.; Pinton, J. F.; Plihon, N.; et al.; Long-term memory in experiments and numerical simulations of hydrodynamic and magnetohydrodynamic turbulence; American Physical Society; Physical Review E: Statistical Physics, Plasmas, Fluids And Related Interdisciplinary Topics; 89; 5; 5-2014; 1-9; 0530051063-651XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1103/PhysRevE.89.053005info:eu-repo/semantics/altIdentifier/url/https://journals.aps.org/pre/abstract/10.1103/PhysRevE.89.053005info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:23:28Zoai:ri.conicet.gov.ar:11336/29460instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:23:28.542CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Long-term memory in experiments and numerical simulations of hydrodynamic and magnetohydrodynamic turbulence
title Long-term memory in experiments and numerical simulations of hydrodynamic and magnetohydrodynamic turbulence
spellingShingle Long-term memory in experiments and numerical simulations of hydrodynamic and magnetohydrodynamic turbulence
Mininni, Pablo Daniel
Turbulence
Magnetohydrodynamics
Low-frequency
Fluctuations
title_short Long-term memory in experiments and numerical simulations of hydrodynamic and magnetohydrodynamic turbulence
title_full Long-term memory in experiments and numerical simulations of hydrodynamic and magnetohydrodynamic turbulence
title_fullStr Long-term memory in experiments and numerical simulations of hydrodynamic and magnetohydrodynamic turbulence
title_full_unstemmed Long-term memory in experiments and numerical simulations of hydrodynamic and magnetohydrodynamic turbulence
title_sort Long-term memory in experiments and numerical simulations of hydrodynamic and magnetohydrodynamic turbulence
dc.creator.none.fl_str_mv Mininni, Pablo Daniel
Dmitruk, Pablo Ariel
Odier, P.
Pinton, J. F.
Plihon, N.
Verhille, G.
Volk, R.
Bourgoin, M.
author Mininni, Pablo Daniel
author_facet Mininni, Pablo Daniel
Dmitruk, Pablo Ariel
Odier, P.
Pinton, J. F.
Plihon, N.
Verhille, G.
Volk, R.
Bourgoin, M.
author_role author
author2 Dmitruk, Pablo Ariel
Odier, P.
Pinton, J. F.
Plihon, N.
Verhille, G.
Volk, R.
Bourgoin, M.
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Turbulence
Magnetohydrodynamics
Low-frequency
Fluctuations
topic Turbulence
Magnetohydrodynamics
Low-frequency
Fluctuations
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv We analyze time series stemming from experiments and direct numerical simulations of hydrodynamic and magnetohydrodynamic turbulence. Simulations are done in periodic boxes, but with a volumetric forcing chosen to mimic the geometry of the flow in the experiments, the von Kármán swirling flow between two counterrotating impellers. Parameters in the simulations are chosen to (within computational limitations) allow comparisons between the experiments and the numerical results. Conducting fluids are considered in all cases. Two different configurations are considered: a case with a weak externally imposed magnetic field and a case with self-sustained magnetic fields. Evidence of long-term memory and 1 / f noise is observed in experiments and simulations, in the case with weak magnetic field associated with the hydrodynamic behavior of the shear layer in the von Kármán flow, and in the dynamo case associated with slow magnetohydrodynamic behavior of the large-scale magnetic field.
Fil: Mininni, Pablo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina
Fil: Dmitruk, Pablo Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina
Fil: Odier, P.. Ecole Normale Suprieure de Lyon; Francia
Fil: Pinton, J. F.. Ecole Normale Suprieure de Lyon; Francia
Fil: Plihon, N.. Ecole Normale Suprieure de Lyon; Francia
Fil: Verhille, G.. Aix-Marseille Universite; Francia
Fil: Volk, R.. Ecole Normale Suprieure de Lyon; Francia
Fil: Bourgoin, M.. Université de Grenoble; Francia
description We analyze time series stemming from experiments and direct numerical simulations of hydrodynamic and magnetohydrodynamic turbulence. Simulations are done in periodic boxes, but with a volumetric forcing chosen to mimic the geometry of the flow in the experiments, the von Kármán swirling flow between two counterrotating impellers. Parameters in the simulations are chosen to (within computational limitations) allow comparisons between the experiments and the numerical results. Conducting fluids are considered in all cases. Two different configurations are considered: a case with a weak externally imposed magnetic field and a case with self-sustained magnetic fields. Evidence of long-term memory and 1 / f noise is observed in experiments and simulations, in the case with weak magnetic field associated with the hydrodynamic behavior of the shear layer in the von Kármán flow, and in the dynamo case associated with slow magnetohydrodynamic behavior of the large-scale magnetic field.
publishDate 2014
dc.date.none.fl_str_mv 2014-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/29460
Mininni, Pablo Daniel; Dmitruk, Pablo Ariel; Odier, P.; Pinton, J. F.; Plihon, N.; et al.; Long-term memory in experiments and numerical simulations of hydrodynamic and magnetohydrodynamic turbulence; American Physical Society; Physical Review E: Statistical Physics, Plasmas, Fluids And Related Interdisciplinary Topics; 89; 5; 5-2014; 1-9; 053005
1063-651X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/29460
identifier_str_mv Mininni, Pablo Daniel; Dmitruk, Pablo Ariel; Odier, P.; Pinton, J. F.; Plihon, N.; et al.; Long-term memory in experiments and numerical simulations of hydrodynamic and magnetohydrodynamic turbulence; American Physical Society; Physical Review E: Statistical Physics, Plasmas, Fluids And Related Interdisciplinary Topics; 89; 5; 5-2014; 1-9; 053005
1063-651X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1103/PhysRevE.89.053005
info:eu-repo/semantics/altIdentifier/url/https://journals.aps.org/pre/abstract/10.1103/PhysRevE.89.053005
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv American Physical Society
publisher.none.fl_str_mv American Physical Society
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846781763623321600
score 12.982451

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