1999
DOI: 10.1016/s0378-4371(99)00358-1
|View full text |Cite
|
Sign up to set email alerts
|

Self-organized criticality in a fibre-bundle-type model

Abstract: The dynamics of a fibre-bundle type model with equal load sharing rule is numerically studied. The system, formed by N elements, is driven by a slow increase of the load upon it which is removed in a novel way through internal transfers to the elements broken during avalanches. When an avalanche ends, failed elements are regenerated with strengths taken from a probability distribution. For a large enough N and certain restrictions on the distribution of individual strengths, the system reaches a self-organized… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

1
21
0
1

Year Published

2000
2000
2015
2015

Publication Types

Select...
5
2
1

Relationship

0
8

Authors

Journals

citations
Cited by 27 publications
(26 citation statements)
references
References 20 publications
(23 reference statements)
1
21
0
1
Order By: Relevance
“…Recently, Mora [Mora (2011)] has proposed a model, the Self healing and activated bond rupture nucleation model (SH-ABR model), which aims to describe fracture nucleation in transient networks considering both activated bond rupture and cross-links re-formation to overcome the intrinsic limitation of the ABR model. It is based on the fiber bundle model, usually used to study fracture in heterogeneous materials [Coleman (1958); Moreno et al (1999); Kun et al (2000); Ciliberto et al (2001); Pradhan et al (2010)]: a set of fibers (or bonds) is located on a supporting lattice and a random stress threshold is assigned to its elements. The set is loaded and a bond breaks when its load exceeds a threshold value.…”
Section: Constant Shear Ratementioning
confidence: 99%
“…Recently, Mora [Mora (2011)] has proposed a model, the Self healing and activated bond rupture nucleation model (SH-ABR model), which aims to describe fracture nucleation in transient networks considering both activated bond rupture and cross-links re-formation to overcome the intrinsic limitation of the ABR model. It is based on the fiber bundle model, usually used to study fracture in heterogeneous materials [Coleman (1958); Moreno et al (1999); Kun et al (2000); Ciliberto et al (2001); Pradhan et al (2010)]: a set of fibers (or bonds) is located on a supporting lattice and a random stress threshold is assigned to its elements. The set is loaded and a bond breaks when its load exceeds a threshold value.…”
Section: Constant Shear Ratementioning
confidence: 99%
“…However, as a bundle approaches its global failure (i.e., the entire bundle breaks) the power law exponent converges to a value of −3/2 [ Pradhan et al , 2006] reflecting transition in which large events become more frequent. In contrast with the BTW and OFC models presented in previous subsections, a marginally stable critical state (fulfilling conditions of SOC systems) is not possible for FBM unless fibers can “heal” after failure [ Moreno et al , 1999]. The FBM formalism provides unique modeling capabilities that not only accommodate gradual loss of mechanical strength prior to abrupt failure, but also capture discrete mechanical events that may be measured independently by acoustic or electrical sensors [ Amitrano et al , 2005] and thus provide a means for noninvasive monitoring of system mechanical state.…”
Section: Introductionmentioning
confidence: 99%
“…The very successful micromechanical models of fiber reinforced composites are improved variants of FBM taking into account stress localization (local load transfer) [19,20,21,24], the effect of matrix material between fibers [20,21,22,23,29,30,31], and possible non-linear behavior of fibers [16]. Previous studies of FBM addressed the macroscopic constitutive behavior, the reliability and size scaling of the global material strength, and the avalanches of fiber breaks preceding ultimate failure [10,11,32,33,34,35,36].…”
Section: Introductionmentioning
confidence: 99%