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相关论文: Distribution of velocities in an avalanche

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Slowly driven elastic interfaces, such as domain walls in dirty magnets, contact lines, or cracks proceed via intermittent motion, called avalanches. We develop a field-theoretic treatment to calculate, from first principles, the space-time…

无序系统与神经网络 · 物理学 2013-08-22 Pierre Le Doussal , Kay Joerg Wiese

We report exact predictions for universal scaling exponents and scaling functions associated with the distribution of the maximum collective avalanche propagation velocities $v_m$ in the mean field theory of the interface depinning…

无序系统与神经网络 · 物理学 2015-06-15 Michael LeBlanc , Luiza Angheluta , Karin Dahmen , Nigel Goldenfeld

Elastic systems, such as magnetic domain walls, density waves, contact lines, and cracks, are all pinned by substrate disorder. When driven, they move via successive jumps called avalanches, with power law distributions of size, duration…

无序系统与神经网络 · 物理学 2015-06-22 Alexander Dobrinevski , Pierre Le Doussal , Kay Jörg Wiese

We study several probability distributions relevant to the avalanche dynamics of elastic interfaces driven on a random substrate: The distribution of size, duration, lateral extension or area, as well as velocities. Results from the…

无序系统与神经网络 · 物理学 2019-10-18 Alejandro B. Kolton , Pierre Le Doussal , Kay Joerg Wiese

We study the motion of an elastic object driven in a disordered environment in presence of both dissipation and inertia. We consider random forces with the statistics of random walks and reduce the problem to a single degree of freedom. It…

无序系统与神经网络 · 物理学 2013-08-22 Pierre Le Doussal , Aleksandra Petkovic , Kay Jörg Wiese

The depinning transition critical point is manifested as power-law distributed avalanches exhibited by slowly driven elastic interfaces in quenched random media. Here we show that since avalanches with different starting heights relative to…

统计力学 · 物理学 2024-11-19 Lasse Laurson

We introduce a simple model for the size distribution of avalanches based on the idea that the front of an avalanche can be described by a directed random walk. The model captures some of the qualitative features of earthquakes, avalanches…

凝聚态物理 · 物理学 2007-05-23 T. Jonsson , J. F. Wheater

We study avalanche dynamics and local activity of forced-flow imbibition fronts in disordered media. We focus on the front dynamics as the mean velocity $\bar{v}$ of the interface is decreased and the pinning state is approached. Scaling…

统计力学 · 物理学 2010-03-05 Marc Pradas , Juan M. López , A. Hernández-Machado

Quantifying the universality of avalanche observables beyond critical exponents is of current great interest in theory and experiments. Here, we improve the characterization of the spatio-temporal process inside avalanches in the…

无序系统与神经网络 · 物理学 2016-06-07 Thimothée Thiery , Pierre Le Doussal

Physical systems characterized by stick-slip dynamics often display avalanches. Regardless of the diversity of their microscopic structure, these systems are governed by a power-law distribution of avalanche size and duration. Here we focus…

Using the Bethe ansatz we obtain the exact solution for the one-dimensional asymmetric avalanche process. We evaluate the velocity of dispersive flow as a function of driving force and the density of particles. The obtained solution shows a…

统计力学 · 物理学 2007-05-23 E. V. Ivashkevich , A. M. Povolotsky , V. B. Priezzhev

The Brownian force model (BFM) is a mean-field model for the local velocities during avalanches in elastic interfaces of internal space dimension $d$, driven in a random medium. It is exactly solvable via a non-linear differential equation.…

无序系统与神经网络 · 物理学 2016-06-01 Mathieu Delorme , Pierre Le Doussal , Kay Jörg Wiese

The Brownian force model (BFM) is the mean-field model for the avalanches of an elastic interface slowly driven in a random medium. It describes the spatio-temporal statistics of the velocity field, and, to some extent is analytically…

统计力学 · 物理学 2022-03-23 Pierre Le Doussal

Motivated by recent experiments, we extend the Joanny-deGennes calculation of the elasticity of a contact line to an arbitrary contact angle and an arbitrary plate inclination in presence of gravity. This requires a diagonalization of the…

无序系统与神经网络 · 物理学 2015-05-14 Pierre Le Doussal , Kay Joerg Wiese

In the present article we consider the problem of underwater avalanches propagating over moderate slopes. The main goal of our work is to investigate the avalanche front velocity selection mechanism when it propagates downwards. In…

流体动力学 · 物理学 2020-02-20 V. Yu Liapidevskii , Denys Dutykh

Disordered systems are characterized by the existence of many sample- dependent local energy minima, that cause a stepwise response when the system is perturbed. In this article we use an approach based on elementary probabilistic methods…

无序系统与神经网络 · 物理学 2017-03-08 Silvio Franz , Stefano Spigler

Topological defects dominate the deformation response of materials in processes ranging from quantum turbulence to crystal plasticity. We calculate the probability distribution function for the fluctuations in velocity $v$, using scaling…

统计力学 · 物理学 2012-03-02 Luiza Angheluta , Patricio Jeraldo , Karin Dahmen , Nigel Goldenfeld

The Abelian Manna model of self-organized criticality is studied on various three-dimensional and fractal lattices. The exponents for avalanche size, duration and area distribution of the model are obtained by using a high-accuracy moment…

统计力学 · 物理学 2012-07-02 Hoai Nguyen Huynh , Gunnar Pruessner

We analyse by numerical simulations and scaling arguments the avalanche statistics of 1-dimensional elastic interfaces in random media driven at a single point. Both global and local avalanche sizes are power-law distributed, with universal…

无序系统与神经网络 · 物理学 2016-01-28 L. E. Aragón , A. B. Kolton , P. Le Doussal , K. J. Wiese , E. A. Jagla

We study freely evolving and forced inelastic gases using the Boltzmann equation. We consider uniform collision rates and obtain analytical results valid for arbitrary spatial dimension d and arbitrary dissipation coefficient epsilon. In…

统计力学 · 物理学 2007-05-23 P. L. Krapivsky , E. Ben-Naim
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