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Prediction of an imminent catastrophic event in a driven disordered system is of paramount importance - from the laboratory scale controlled fracture experiment to the largest scale of mechanical failure i.e., earthquakes. It has been long…

统计力学 · 物理学 2023-07-19 Diksha , Sumanta Kundu , Bikas K. Chakrabarti , Soumyajyoti Biswas

Failure statistics of banks in the US show that their sizes are highly unequal (ranging from a few tens of thousands to over a billion dollars) and also, they come in `waves' of intermittent activities. This motivates a self-organized…

物理与社会 · 物理学 2024-01-11 Soumyajyoti Biswas , Bikas K. Chakrabarti

Statistical physicists and social scientists both study extensively some characteristic features of the unequal distributions of energy, cluster or avalanche sizes and of income, wealth etc among the particles (or sites) and population…

物理与社会 · 物理学 2022-10-26 Asim Ghosh , Soumyajyoti Biswas , Bikas K. Chakrabarti

In the systems showing critical behavior, various response functions have a singularity at the critical point. Therefore, as the driving field is tuned towards its critical value, the response functions change drastically, typically…

统计力学 · 物理学 2023-09-26 Soumyaditya Das , Soumyajyoti Biswas

Inequalities are abundant in a society with a number of agents competing for a limited amount of resource. Statistics of such social inequalities are usually represented by the Lorenz function $L(p)$, where $p$ fraction of the population…

统计力学 · 物理学 2021-10-18 Soumyajyoti Biswas , Bikas K. Chakrabarti

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 investigate the failure process of fiber bundles with structural disorder represented by the random misalignment of fibers. The strength of fibers is assumed to be constant so that misalignment is the only source of disorder, which…

材料科学 · 物理学 2024-10-01 Ferenc Kun , Lynet Allan , Attia Batool , Zsuzsa Danku , Gergő Pál

Prediction of breakdown in disordered solids under external loading in a question of paramount importance. Here we use a fiber bundle model for disordered solids and record the time series of the avalanche sizes and energy bursts. The time…

统计力学 · 物理学 2022-09-14 Diksha , Soumyajyoti Biswas

A bundle of fibers has been considered here as a model for composite materials, where breaking of the fibers occur due to a combined influence of applied load (stress) and external noise. Through numerical simulation and a mean-field…

统计力学 · 物理学 2013-07-26 Srutarshi Pradhan , Anjan Kumar Chandra , Bikas K. Chakrabarti

We consider first a homogeneous fiber bundle model where all the fibers have got the same stress threshold beyond which all fail simultaneously in absence of noise. At finite noise, the bundle acquires a fatigue behavior due to the…

统计力学 · 物理学 2009-11-07 Srutarshi Pradhan , Bikas K. Chakrabarti

The dynamics of driven interfaces through disordered media is a common framework for a myriad of diverse systems starting from mode-I fracture, vortex lines in superconductors, magnetic domain walls to invading fluid in a porous medium to…

统计力学 · 物理学 2023-10-06 Diksha , Gunnemeda Eswar , Soumyajyoti Biswas

We have studied few social inequality measures associated with the sub-critical dynamical features (measured in terms of the avalanche size distributions) of four self-organized critical models while the corresponding systems approach their…

统计力学 · 物理学 2022-04-06 S. S. Manna , Soumyajyoti Biswas , Bikas K. Chakrabarti

As a model of composite material, the fiber bundle model has been chosen -where a bundle of fibers is subjected to external load and fibers have distributed thresholds. For different loading conditions, such a system shows few precursors…

材料科学 · 物理学 2015-05-19 Srutarshi Pradhan

An equal load sharing fiber bundle model for thermally activated breakdown is developed using transition state theory to describe the rate of elementary failures. The lifetime distribution, average, variance and their asymptotic limits for…

统计力学 · 物理学 2025-08-20 Stefan Hiemer , Paolo Moretti , Stefano Zapperi , Michael Zaiser

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 review limiting models for fracture in bundles of fibers, with statistically distributed thresholds for breakdown of individual fibers. During the breakdown process, avalanches consisting of simultaneous rupture of several fibers occur,…

统计力学 · 物理学 2009-10-30 M. Kloster , A. Hansen , P. C. Hemmer

The order parameter for a continuous transition shows diverging fluctuation near the critical point. Here we show, through numerical simulations and scaling arguments, that the inequality (or variability) between the values of an order…

统计力学 · 物理学 2024-01-30 Soumyaditya Das , Soumyajyoti Biswas , Anirban Chakraborti , Bikas K. Chakrabarti

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…

统计力学 · 物理学 2009-10-31 Y. Moreno , J. B. Gomez , A. F. Pacheco

We investigate the effect of the amount of disorder on the statistics of breaking bursts during the quasi-static fracture of heterogeneous materials. We consider a fiber bundle model where the strength of single fibers is sampled from a…

无序系统与神经网络 · 物理学 2019-11-19 Viktoria Kadar , Ferenc Kun

Forecasting the imminent catastrophic failure has a high importance for a large variety of systems from the collapse of engineering constructions, through the emergence of landslides and earthquakes, to volcanic eruptions. Failure forecast…

无序系统与神经网络 · 物理学 2020-10-23 Viktória Kádár , Gergő Pál , Ferenc Kun
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