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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/29460
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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 Técnicas2025-09-29T09:54:11Zoai: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:34982025-09-29 09:54:11.498CONICET 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 |
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1844613647961161728 |
score |
13.070432 |