http://www.cnr.it/ontology/cnr/individuo/prodotto/ID57607
A random neighbour model for yielding (Articolo in rivista)
- Type
- Label
- A random neighbour model for yielding (Articolo in rivista) (literal)
- Anno
- 2010-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1088/1742-5468/2010/03/P03011 (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Dalton F. (1) ; Petri A. (1,2) ; Pontuale G. (1) (literal)
- Pagina inizio
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
- March. IOP Publishing. (literal)
- Note
- Scopu (literal)
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- 1) Consiglio Nazionale delle Ricerche, Istituto dei Sistemi Complessi, via del Fosso del Cavaliere 100,00133 Roma,Italy,
2) Dipartimento di Fisica,Sapienza Università,Piazzale Aldo Moro 5, 00185 Roma,Italy (literal)
- Titolo
- A random neighbour model for yielding (literal)
- Abstract
- We introduce a model for yielding, inspired by fracture models and
the failure of a sheared granular medium in which the applied shear is resisted
by self-organized force chains. The force chains in the granular medium (GM)
are considered as a bundle of elastic brittle fibres of finite failure strength.
Upon the failure of any fibre, its load is randomly redistributed amongst the
remaining fibres. The model provides an exponential distribution of the internal
stress and a log-normal shaped distribution of global failure stress, in agreement
with experimental observations. The model displays critical behaviour which
approaches mean field as the number of random neighbours k becomes large
and also displays a failure strength which remains finite in the limit of infinite
size. From comparison with different models it is argued that this is an effect of
non-correlation. All of these macroscopic properties appear statistically stable
with respect to the choice of the chains' initial failure strength distribution. The
model investigated is relevant for all systems in which some generic external load
or pressure is borne by a number of units, independent of one another except
when failure of a unit causes load transfer to some random choice of neighbouring
units. (literal)
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