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The correlations among elements that break in random fuse network fracture are studied, for disorder strong enough to allow for volume damage before final failure. The growth of microfractures is found to be uncorrelated above a…

统计力学 · 物理学 2009-11-10 F. Reurings , M. J. Alava

We investigate the fracture process of a bundle of fibers with random Young modulus and a constant breaking strength. For two component systems we show that the strength of the mixture is always lower than the strength of the individual…

无序系统与神经网络 · 物理学 2011-06-24 Ehud Karpas , Ferenc Kun

In this paper a composite model for earthquake rupture initiation and propagation is proposed. The model includes aspects of damage mechanics, fiber-bundle models, and slider-block models. An array of elements is introduced in analogy to…

地球物理 · 物理学 2010-07-14 G. Yakovlev , J. D. Gran , D. L. Turcotte , J. B. Rundle , W. Klein

We investigate the approach to catastrophic failure in a model porous granular material undergoing uniaxial compression. A discrete element computational model is used to simulate both the micro-structure of the material and the complex…

无序系统与神经网络 · 物理学 2014-02-27 F. Kun , I. Varga , S. Lennartz-Sassinek , I. G. Main

We study the time evolution of damage in a fiber bundle model in which the range of interaction of fibers varies through an adjustable stress transfer function recently introduced. We find that the lifetime of the material exhibits a…

统计力学 · 物理学 2009-11-07 Oluwole E. Yewande , Yamir Moreno , Ferenc Kun , Raul Cruz Hidalgo , Hans J. Herrmann

The statistical properties of failure are studied in a fiber bundle model with thermal noise. We find that in agreement with recent experiments the macroscopic failure is produced by a thermal activation of microcracks. Most importantly the…

凝聚态物理 · 物理学 2007-05-23 A. Guarino , R. Scorretti , S. Ciliberto

We investigate compressive failure of heterogeneous materials on the basis of a continuous progressive damage model. The model explicitely accounts for tensile and shear local damage and reproduces the main features of compressive failure…

材料科学 · 物理学 2012-05-03 Lucas Girard , Jerome Weiss , David Amitrano

We discuss the failure dynamics of the Fiber Bundle Model, especially in the equal-load-sharing scheme. We also highlight the "Critical" aspects of their dynamics in comparison with those in standard thermodynamic systems undergoing phase…

统计力学 · 物理学 2018-12-26 Srutarshi Pradhan , Bikas K. Chakrabarti

We present a study of the fiber bundle model using equal load sharing dynamics where the breaking thresholds of the fibers are drawn randomly from a power law distribution of the form $p(b)\sim b^{-1}$ in the range $10^{-\beta}$ to…

无序系统与神经网络 · 物理学 2019-06-21 Chandreyee Roy , Sumanta Kundu , S. S. Manna

The present work deals with the behavior of fiber bundle model under heterogeneous loading condition. The model is explored both in the mean-field limit as well as with local stress concentration. In the mean field limit, the failure…

无序系统与神经网络 · 物理学 2018-06-01 Subhadeep Roy , Sanchari Goswami

We investigate the geometrical structure of breaking bursts generated during the creep rupture of heterogeneous materials. Based on a fiber bundle model with localized load sharing we show that bursts are compact geometrical objects,…

无序系统与神经网络 · 物理学 2015-12-04 Zsuzsa Danku , Ferenc Kun , Hans J. Herrmann

The study reports a systematic evaluation of the role of spatially correlated mechanical elements on failure behavior of heterogeneous materials represented by fiber bundle models (FBM) with different load redistribution rules. The increase…

适应与自组织系统 · 物理学 2013-10-23 Jerome Faillettaz , Dani Or

We formulate the problem of probabilistic predictions of global failure in the simplest possible model based on site percolation and on one of the simplest model of time-dependent rupture, a hierarchical fiber bundle model. We show that…

材料科学 · 物理学 2009-11-11 J. Andersen , D. Sornette

We introduce a fiber bundle model where the interaction among fibers is modeled by an adjustable stress-transfer function which can interpolate between the two limiting cases of load redistribution, the global and the local load sharing…

统计力学 · 物理学 2009-11-07 Raul Cruz Hidalgo , Yamir Moreno , Ferenc Kun , Hans J. Herrmann

We investigate how the dimensionality of the embedding space affects the microscopic crackling dynamics and the macroscopic response of heterogeneous materials. Using a fiber bundle model with localized load sharing computer simulations are…

无序系统与神经网络 · 物理学 2019-03-01 Zsuzsa Danku , Geza Odor , Ferenc Kun

One of the major factors governing the mode of failure in disordered solids is the effective range $R$, over which the stress field is modified following a local rupture event. In random fiber bundle model, considered as a prototype of…

统计力学 · 物理学 2015-05-29 Soumyajyoti Biswas , Subhadeep Roy , Purusattam Ray

We study the creep rupture of fiber composites in the framework of fiber bundle models. Two novel fiber bundle models are introduced based on different microscopic mechanisms responsible for the macroscopic creep behavior. Analytical and…

统计力学 · 物理学 2011-03-28 Ferenc Kun , Raul Cruz Hidalgo , Hans J. Herrmann , Karoly F. Pal

The deformation of brittle material is primarily accompanied by micro-cracking and faulting. However, it has often been found that continuum fluid models, usually based on a non-Newtonian viscosity, are applicable. To explain this rheology,…

材料科学 · 物理学 2016-12-28 K. Z. Nanjo

The average time for the onset of macroscopic fractures is analytically and numerically investigated in the fiber-bundle model with quenched disorder and thermal noise under a constant load. We find an implicit exact expression for the…

材料科学 · 物理学 2009-11-07 Antonio Politi , Segio Ciliberto , Riccardo Scorretti

We study the effect of heterogeneous load sharing in the fiber bundle models of fracture. The system is divided into two groups of fibers (fraction $p$ and $1-p$) in which one group follow the completely local load sharing mechanism and the…

统计力学 · 物理学 2013-09-26 Soumyajyoti Biswas , Bikas K. Chakrabarti