Aproximation of continuous media models for granular systems using cellular automata
NAGIOS: RODERIC FUNCIONANDO

Aproximation of continuous media models for granular systems using cellular automata

DSpace Repository

Aproximation of continuous media models for granular systems using cellular automata

Show simple item record

dc.contributor.author Pla i Castells, Marta
dc.contributor.author García-Fernández, Ignacio
dc.contributor.author Martínez Durá, Rafael J.
dc.date.accessioned 2017-09-25T14:12:43Z
dc.date.available 2017-09-25T14:12:43Z
dc.date.issued 2004
dc.identifier.uri http://hdl.handle.net/10550/61052
dc.description.abstract In this paper a new cellular automata model suitable for granular systems simulation is presented. The proposed model is shown to be equivalent to a particularization of the well known BCRE model of granular systems and a correspondence between the parameters of the presented model and the BCRE model is also set, allowing to fit these parameters for a given system. The model has the advantage over other cellular automata models of being more realistic in the behavior of the surface of heaps and slopes. The dynamics of the CA is analyzed in order to confirm that it also has one of the most important features of these systems, 1/f noise.
dc.language.iso eng
dc.relation.ispartof Lecture Notes in Computer Science, 2004, vol. 3305, p. 230-237
dc.rights.uri info:eu-repo/semantics/openAccess
dc.source Pla i Castells, Marta García Fernández, Ignacio Martínez Durá, Rafael J. 2004 Aproximation of continuous media models for granular systems using cellular automata Lecture Notes in Computer Science 3305 230 237
dc.subject Robots
dc.title Aproximation of continuous media models for granular systems using cellular automata
dc.type info:eu-repo/semantics/article
dc.date.updated 2017-09-25T14:12:44Z
dc.identifier.doi https://doi.org/10.1007/978-3-540-30479-1_24
dc.identifier.idgrec 015494

View       (98.36Kb)

This item appears in the following Collection(s)

Show simple item record

Search DSpace

Advanced Search

Browse

Statistics