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We use the local load sharing fiber bundle model to demonstrate a shielding effect where strong fibers protect weaker ones. This effect exists due to the local stress enhancement around broken fibers in the local load sharing model, and it…

无序系统与神经网络 · 物理学 2019-10-21 Jonas T. Kjellstadli , Eivind Bering , Srutarshi Pradhan , Alex Hansen

We study fracture processes within a stochastic fiber-bundle model where it is assumed that after the failure of a fiber, each intact fiber obtains a random fraction of the failing load. Within a Markov approximation, the breakdown…

材料科学 · 物理学 2013-03-27 Jörg Lehmann , Jakob Bernasconi

The fiber bundle model describes a collection of elastic fibers under load. the fibers fail successively and for each failure, the load distribution among the surviving fibers change. Even though very simple, the model captures the…

统计力学 · 物理学 2015-05-13 Srutarshi Pradhan , Alex Hansen , Bikas K. Chakrabarti

We study the failure properties of fiber bundles when continuous rupture goes on due to the application of external load on the bundles. We take the two extreme models: equal load sharing model (democratic fiber bundles) and local load…

统计力学 · 物理学 2009-11-10 Srutarshi Pradhan , Bikas K. Chakrabarti

We consider the local load sharing fiber bundle model in one to five dimensions. Depending on the breaking threshold distribution of the fibers, there is a transition where the fracture process becomes localized. In the localized phase, the…

无序系统与神经网络 · 物理学 2015-08-12 Santanu Sinha , Jonas T. Kjellstadli , Alex Hansen

Statistical models are essential to get a better understanding of the role of disorder in brittle disordered solids. Fiber bundle models play a special role as a paradigm, with a very good balance of simplicity and non-trivial effects. We…

无序系统与神经网络 · 物理学 2015-11-10 Sylvain Patinet , Damien Vandembroucq , Alex Hansen , Stéphane Roux

We discuss the cooperative failure dynamics in the Fiber Bundle Model where the individual elements or fibers are Hookean springs, having identical spring constant but different breaking strengths. When the bundle is stressed or strained,…

统计力学 · 物理学 2020-12-24 Bikas K. Chakrabarti , Soumyajyoti Biswas , Srutarshi Pradhan

We study the dynamics of a local load sharing fiber bundle model in two dimensions, under an external load (which increases with time at a fixed slow rate) applied at a single point. Due to the local load sharing nature, the redistributed…

统计力学 · 物理学 2013-10-09 Soumyajyoti Biswas , Bikas K. Chakrabarti

We study the competition between thermal fluctuations and stress enhancement in the failure process of a disordered system by using a local load sharing fiber bundle model. The thermal noise is introduced by defining a failure probability…

无序系统与神经网络 · 物理学 2021-02-24 Santanu Sinha , Subhadeep Roy , Alex Hansen

Quasi-brittle behavior where macroscopic failure is preceded by stable damaging and intensive cracking activity is a desired feature of materials because it makes fracture predictable. Based on a fiber bundle model with global load sharing…

材料科学 · 物理学 2016-04-07 Ehud D. Karpas , Ferenc Kun

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 study the effect of the competition between disorder and stress enhancement in fracture processes using the local load sharing fiber bundle model, a model that hovers on the border between analytical tractability and numerical…

无序系统与神经网络 · 物理学 2020-10-28 Santanu Sinha , Subhadeep Roy , Alex Hansen

We investigate how the macroscopic response and the size scaling of the ultimate strength of materials change when their local strength is sampled from a fat-tailed distribution and the degree of disorder is varied in a broad range. Using…

无序系统与神经网络 · 物理学 2023-07-26 Zsuzsa Danku , Gergő Pál , Ferenc Kun

In this work I have studied the effect of disorder and system size in fiber bundle model with a certain range of stress redistribution. The strength of the bundle as well as the failure abruptness is observed with varying disorder, stress…

统计力学 · 物理学 2017-11-02 Subhadeep Roy

Fiber bundles with statistically distributed thresholds for breakdown of individual fibers are interesting models of the static and dynamics of failures in materials under stress. They can be analyzed to an extent that is not possible for…

软凝聚态物质 · 物理学 2009-09-29 Per C. Hemmer , Alex Hansen , Srutarshi Pradhan

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

A recent theory that determines the properties of disordered solids as the solid accumulates damage is applied to the special case of fiber bundles with global load sharing and is shown to be exact in this case. The theory postulates that…

统计力学 · 物理学 2015-06-24 Steven R. Pride , Renaud Toussaint

Under an applied external load the global load-sharing fiber bundle model, with individual fiber strength thresholds sampled randomly from a probability distribution, will relax to an equilibrium state, or to complete bundle breakdown. The…

统计力学 · 物理学 2010-09-20 Srutarshi Pradhan , Per C. Hemmer

We introduce a continuous damage fiber bundle model that gives rise to macroscopic plasticity and compare its behavior with that of dry fiber bundles. Several interesting constitutive behaviors are found in this model depending on the value…

统计力学 · 物理学 2009-10-31 Ferenc Kun , Stefano Zapperi , Hans J. Herrmann

A fiber bundle model in $(1+1)$-dimensions for the breaking of fibrous composite matrix is introduced. The model consists of $N$ parallel fibers fixed in two plates. When one of the plates is pulled in the direction parallel to the fibers,…

凝聚态物理 · 物理学 2009-10-22 A. T. Bernardes , J. G. Moreira
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