info:eu-repo/semantics/article
Clogging transition of many particle systems flowing through bottlenecks
Registro en:
Scientific Reports
10.1038/srep07324
Autor
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
Institución
Resumen
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