Clogging transition of many particle systems flowing through bottlenecks
- Autores
- Zuriguel, Iker; Parisi, Daniel; Cruz Hidalgo, Raul; Lozano, Celia; Janda, Alvaro; Gago, Paula; Peralta, Juan; Ferrer, Luis; Pugnaloni, Luis; Clement, Eric; Maza, Diego; Pagonabarraga, Ignacio; Garcimartín, Angel
- Año de publicación
- 2014
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- When a large set of discrete bodies passes through a bottleneck, the flow may become intermittent due to the development of clogs that obstruct the constriction. Clogging is observed, for instance, in colloidal suspensions, granular materials and crowd swarming, where consequences may be dramatic. Despite its ubiquity, a general framework embracing research in such a wide variety of scenarios is still lacking. We show that in systems of very different nature and scale -including sheep herds, pedestrian crowds, assemblies of grains, and colloids- the probability distribution of time lapses between the passages of consecutive bodies exhibits a power-law tail with an exponent that depends on the system condition. Consequently, we identify the transition to clogging in terms of the divergence of the average time lapse. Such a unified description allows us to put forward a qualitative clogging state diagram whose most conspicuous feature is the presence of a length scale qualitatively related to the presence of a finite size orifice. This approach helps to understand paradoxical phenomena, such as the faster-is-slower effect predicted for pedestrians evacuating a room and might become a starting point for researchers working in a wide variety of situations where clogging represents a hindrance.
Fil: Zuriguel, Iker. Universidad de Navarra. Facultad de Ciencias. Departamento de Física y Matemática Aplicada; España
Fil: Parisi, Daniel. Instituto Tecnológico de Buenos Aires. CONICET; Argentina
Fil: Cruz Hidalgo, Raul. Universidad de Navarra. Facultad de Ciencias. Departamento de Física y Matemática Aplicada; España
Fil: Lozano, Celia. Universidad de Navarra. Facultad de Ciencias. Departamento de Física y Matemática Aplicada; España
Fil: Janda, Alvaro. University of Edinburgh. School of Engineering; UK
Fil: Gago, Paula. UTN (Universidad Tecnológica Nacional). Departamento de Ingeniería Mecánica; Argentina
Fil: Peralta, Juan. UTN (Universidad Tecnológica Nacional). Departamento de Ingeniería Mecánica; Argentina
Fil: Ferrer, Luis. Universidad de Zaragoza. Facultad de Veterinaria. Departamento de Patología Animal; España
Fil: Pugnaloni, Luis. UTN (Universidad Tecnológica Nacional). Departamento de Ingeniería Mecánica. GMG. CONICET (Consejo Nacional de Investigaciones Científicas y Técnicas); Argentina
Fil: Clement, Eric. Univ. P.& M. Curie and Paris-Diderot. PMMH-ESPCI; France
Fil: Maza, Diego. Universidad de Navarra. Departamento de Física; España
Fil: Pagonabarraga, Ignacio. Universitat de Barcelona. Departament de Fisica Fonamental; España
Fil: Garcimartín, A. Universidad de Navarra. Facultad de Ciencias. Departamento de Física y Matemática Aplicada; España
Peer Reviewed - Materia
- Clogging transition; particle systems; flowing through bottlenecks
- Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- Atribución (Attribution): En cualquier explotación de la obra autorizada por la licencia será necesario reconocer la autoría (obligatoria en todos los casos). No comercial (Non Commercial): La explotación de la obra queda limitada a usos no comerciales. Sin obras derivadas (No Derivate Works): La autorización para explotar la obra no incluye la posibilidad de crear una obra derivada (traducciones, adaptaciones, etc.).
- Repositorio
- Institución
- Universidad Tecnológica Nacional
- OAI Identificador
- oai:ria.utn.edu.ar:20.500.12272/2831
Ver los metadatos del registro completo
id |
RIAUTN_6269ce02c2a6c1649282ff93c891d490 |
---|---|
oai_identifier_str |
oai:ria.utn.edu.ar:20.500.12272/2831 |
network_acronym_str |
RIAUTN |
repository_id_str |
a |
network_name_str |
Repositorio Institucional Abierto (UTN) |
spelling |
Clogging transition of many particle systems flowing through bottlenecksZuriguel, IkerParisi, DanielCruz Hidalgo, RaulLozano, CeliaJanda, AlvaroGago, PaulaPeralta, JuanFerrer, LuisPugnaloni, LuisClement, EricMaza, DiegoPagonabarraga, IgnacioGarcimartín, AngelClogging transition; particle systems; flowing through bottlenecksWhen a large set of discrete bodies passes through a bottleneck, the flow may become intermittent due to the development of clogs that obstruct the constriction. Clogging is observed, for instance, in colloidal suspensions, granular materials and crowd swarming, where consequences may be dramatic. Despite its ubiquity, a general framework embracing research in such a wide variety of scenarios is still lacking. We show that in systems of very different nature and scale -including sheep herds, pedestrian crowds, assemblies of grains, and colloids- the probability distribution of time lapses between the passages of consecutive bodies exhibits a power-law tail with an exponent that depends on the system condition. Consequently, we identify the transition to clogging in terms of the divergence of the average time lapse. Such a unified description allows us to put forward a qualitative clogging state diagram whose most conspicuous feature is the presence of a length scale qualitatively related to the presence of a finite size orifice. This approach helps to understand paradoxical phenomena, such as the faster-is-slower effect predicted for pedestrians evacuating a room and might become a starting point for researchers working in a wide variety of situations where clogging represents a hindrance.Fil: Zuriguel, Iker. Universidad de Navarra. Facultad de Ciencias. Departamento de Física y Matemática Aplicada; EspañaFil: Parisi, Daniel. Instituto Tecnológico de Buenos Aires. CONICET; ArgentinaFil: Cruz Hidalgo, Raul. Universidad de Navarra. Facultad de Ciencias. Departamento de Física y Matemática Aplicada; EspañaFil: Lozano, Celia. Universidad de Navarra. Facultad de Ciencias. Departamento de Física y Matemática Aplicada; EspañaFil: Janda, Alvaro. University of Edinburgh. School of Engineering; UKFil: Gago, Paula. UTN (Universidad Tecnológica Nacional). Departamento de Ingeniería Mecánica; ArgentinaFil: Peralta, Juan. UTN (Universidad Tecnológica Nacional). Departamento de Ingeniería Mecánica; ArgentinaFil: Ferrer, Luis. Universidad de Zaragoza. Facultad de Veterinaria. Departamento de Patología Animal; EspañaFil: Pugnaloni, Luis. UTN (Universidad Tecnológica Nacional). Departamento de Ingeniería Mecánica. GMG. CONICET (Consejo Nacional de Investigaciones Científicas y Técnicas); ArgentinaFil: Clement, Eric. Univ. P.& M. Curie and Paris-Diderot. PMMH-ESPCI; FranceFil: Maza, Diego. Universidad de Navarra. Departamento de Física; EspañaFil: Pagonabarraga, Ignacio. Universitat de Barcelona. Departament de Fisica Fonamental; EspañaFil: Garcimartín, A. Universidad de Navarra. Facultad de Ciencias. Departamento de Física y Matemática Aplicada; EspañaPeer ReviewedScientific Reports2018-05-14T14:18:19Z2018-05-14T14:18:19Z2014info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfScientific Reportshttp://hdl.handle.net/20.500.12272/283110.1038/srep07324enghttps://www.nature.com/articles/srep07324info:eu-repo/semantics/openAccessAtribución (Attribution): En cualquier explotación de la obra autorizada por la licencia será necesario reconocer la autoría (obligatoria en todos los casos). No comercial (Non Commercial): La explotación de la obra queda limitada a usos no comerciales. Sin obras derivadas (No Derivate Works): La autorización para explotar la obra no incluye la posibilidad de crear una obra derivada (traducciones, adaptaciones, etc.).reponame:Repositorio Institucional Abierto (UTN)instname:Universidad Tecnológica Nacional2025-10-16T10:10:46Zoai:ria.utn.edu.ar:20.500.12272/2831instacron:UTNInstitucionalhttp://ria.utn.edu.ar/Universidad públicaNo correspondehttp://ria.utn.edu.ar/oaigestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:a2025-10-16 10:10:46.768Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacionalfalse |
dc.title.none.fl_str_mv |
Clogging transition of many particle systems flowing through bottlenecks |
title |
Clogging transition of many particle systems flowing through bottlenecks |
spellingShingle |
Clogging transition of many particle systems flowing through bottlenecks Zuriguel, Iker Clogging transition; particle systems; flowing through bottlenecks |
title_short |
Clogging transition of many particle systems flowing through bottlenecks |
title_full |
Clogging transition of many particle systems flowing through bottlenecks |
title_fullStr |
Clogging transition of many particle systems flowing through bottlenecks |
title_full_unstemmed |
Clogging transition of many particle systems flowing through bottlenecks |
title_sort |
Clogging transition of many particle systems flowing through bottlenecks |
dc.creator.none.fl_str_mv |
Zuriguel, Iker Parisi, Daniel Cruz Hidalgo, Raul Lozano, Celia Janda, Alvaro Gago, Paula Peralta, Juan Ferrer, Luis Pugnaloni, Luis Clement, Eric Maza, Diego Pagonabarraga, Ignacio Garcimartín, Angel |
author |
Zuriguel, Iker |
author_facet |
Zuriguel, Iker Parisi, Daniel Cruz Hidalgo, Raul Lozano, Celia Janda, Alvaro Gago, Paula Peralta, Juan Ferrer, Luis Pugnaloni, Luis Clement, Eric Maza, Diego Pagonabarraga, Ignacio Garcimartín, Angel |
author_role |
author |
author2 |
Parisi, Daniel Cruz Hidalgo, Raul Lozano, Celia Janda, Alvaro Gago, Paula Peralta, Juan Ferrer, Luis Pugnaloni, Luis Clement, Eric Maza, Diego Pagonabarraga, Ignacio Garcimartín, Angel |
author2_role |
author author author author author author author author author author author author |
dc.subject.none.fl_str_mv |
Clogging transition; particle systems; flowing through bottlenecks |
topic |
Clogging transition; particle systems; flowing through bottlenecks |
dc.description.none.fl_txt_mv |
When a large set of discrete bodies passes through a bottleneck, the flow may become intermittent due to the development of clogs that obstruct the constriction. Clogging is observed, for instance, in colloidal suspensions, granular materials and crowd swarming, where consequences may be dramatic. Despite its ubiquity, a general framework embracing research in such a wide variety of scenarios is still lacking. We show that in systems of very different nature and scale -including sheep herds, pedestrian crowds, assemblies of grains, and colloids- the probability distribution of time lapses between the passages of consecutive bodies exhibits a power-law tail with an exponent that depends on the system condition. Consequently, we identify the transition to clogging in terms of the divergence of the average time lapse. Such a unified description allows us to put forward a qualitative clogging state diagram whose most conspicuous feature is the presence of a length scale qualitatively related to the presence of a finite size orifice. This approach helps to understand paradoxical phenomena, such as the faster-is-slower effect predicted for pedestrians evacuating a room and might become a starting point for researchers working in a wide variety of situations where clogging represents a hindrance. Fil: Zuriguel, Iker. Universidad de Navarra. Facultad de Ciencias. Departamento de Física y Matemática Aplicada; España Fil: Parisi, Daniel. Instituto Tecnológico de Buenos Aires. CONICET; Argentina Fil: Cruz Hidalgo, Raul. Universidad de Navarra. Facultad de Ciencias. Departamento de Física y Matemática Aplicada; España Fil: Lozano, Celia. Universidad de Navarra. Facultad de Ciencias. Departamento de Física y Matemática Aplicada; España Fil: Janda, Alvaro. University of Edinburgh. School of Engineering; UK Fil: Gago, Paula. UTN (Universidad Tecnológica Nacional). Departamento de Ingeniería Mecánica; Argentina Fil: Peralta, Juan. UTN (Universidad Tecnológica Nacional). Departamento de Ingeniería Mecánica; Argentina Fil: Ferrer, Luis. Universidad de Zaragoza. Facultad de Veterinaria. Departamento de Patología Animal; España Fil: Pugnaloni, Luis. UTN (Universidad Tecnológica Nacional). Departamento de Ingeniería Mecánica. GMG. CONICET (Consejo Nacional de Investigaciones Científicas y Técnicas); Argentina Fil: Clement, Eric. Univ. P.& M. Curie and Paris-Diderot. PMMH-ESPCI; France Fil: Maza, Diego. Universidad de Navarra. Departamento de Física; España Fil: Pagonabarraga, Ignacio. Universitat de Barcelona. Departament de Fisica Fonamental; España Fil: Garcimartín, A. Universidad de Navarra. Facultad de Ciencias. Departamento de Física y Matemática Aplicada; España Peer Reviewed |
description |
When a large set of discrete bodies passes through a bottleneck, the flow may become intermittent due to the development of clogs that obstruct the constriction. Clogging is observed, for instance, in colloidal suspensions, granular materials and crowd swarming, where consequences may be dramatic. Despite its ubiquity, a general framework embracing research in such a wide variety of scenarios is still lacking. We show that in systems of very different nature and scale -including sheep herds, pedestrian crowds, assemblies of grains, and colloids- the probability distribution of time lapses between the passages of consecutive bodies exhibits a power-law tail with an exponent that depends on the system condition. Consequently, we identify the transition to clogging in terms of the divergence of the average time lapse. Such a unified description allows us to put forward a qualitative clogging state diagram whose most conspicuous feature is the presence of a length scale qualitatively related to the presence of a finite size orifice. This approach helps to understand paradoxical phenomena, such as the faster-is-slower effect predicted for pedestrians evacuating a room and might become a starting point for researchers working in a wide variety of situations where clogging represents a hindrance. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014 2018-05-14T14:18:19Z 2018-05-14T14:18:19Z |
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 |
Scientific Reports http://hdl.handle.net/20.500.12272/2831 10.1038/srep07324 |
identifier_str_mv |
Scientific Reports 10.1038/srep07324 |
url |
http://hdl.handle.net/20.500.12272/2831 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.nature.com/articles/srep07324 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess Atribución (Attribution): En cualquier explotación de la obra autorizada por la licencia será necesario reconocer la autoría (obligatoria en todos los casos). No comercial (Non Commercial): La explotación de la obra queda limitada a usos no comerciales. Sin obras derivadas (No Derivate Works): La autorización para explotar la obra no incluye la posibilidad de crear una obra derivada (traducciones, adaptaciones, etc.). |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
Atribución (Attribution): En cualquier explotación de la obra autorizada por la licencia será necesario reconocer la autoría (obligatoria en todos los casos). No comercial (Non Commercial): La explotación de la obra queda limitada a usos no comerciales. Sin obras derivadas (No Derivate Works): La autorización para explotar la obra no incluye la posibilidad de crear una obra derivada (traducciones, adaptaciones, etc.). |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Scientific Reports |
publisher.none.fl_str_mv |
Scientific Reports |
dc.source.none.fl_str_mv |
reponame:Repositorio Institucional Abierto (UTN) instname:Universidad Tecnológica Nacional |
reponame_str |
Repositorio Institucional Abierto (UTN) |
collection |
Repositorio Institucional Abierto (UTN) |
instname_str |
Universidad Tecnológica Nacional |
repository.name.fl_str_mv |
Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacional |
repository.mail.fl_str_mv |
gestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.ar |
_version_ |
1846146084244553728 |
score |
12.712165 |