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The class of norm-dependent Random Matrix Ensembles is studied in the presence of an external field. The probability density in those ensembles depends on the trace of the squared random matrices, but is otherwise arbitrary. An exact…

数学物理 · 物理学 2009-11-11 Thomas Guhr

We study the effect of mergers in the force chain model describing the stress profile in static granular materials. Combining numerical and analytical calculations we show that granular materials do not generally behave in an elastic-like…

软凝聚态物质 · 物理学 2009-11-10 Yael Roichman , Dov Levine , Irad Yavneh

Force chains, which are quasi-linear self-organised structures carrying large stresses, are ubiquitous in jammed amorphous materials, such as granular materials, foams, emulsions or even assemblies of cells. Predicting where they will form…

软凝聚态物质 · 物理学 2022-08-24 Rituparno Mandal , Corneel Casert , Peter Sollich

Force chain networks are generally applied in granular materials to gain insight into inter-particle granular contact. For conservative spherical particle systems, i.e. frictionless and undamped, force chains are information complete due to…

软凝聚态物质 · 物理学 2021-06-08 Daniel N. Wilke

Statistical ensembles of networks, i.e., probability spaces of all networks that are consistent with given aggregate statistics, have become instrumental in the analysis of complex networks. Their numerical and analytical study provides the…

物理与社会 · 物理学 2016-08-09 Giona Casiraghi , Vahan Nanumyan , Ingo Scholtes , Frank Schweitzer

The cornerstone of statistical mechanics of complex networks is the idea that the links, and not the nodes, are the effective particles of the system. Here we formulate a mapping between weighted networks and lattice gasses, making the…

统计力学 · 物理学 2019-03-06 Andrea Gabrielli , Rossana Mastrandrea , Guido Caldarelli , Giulio Cimini

We experimentally and numerically examine stress-dependent electrical transport in granular materials to elucidate the origins of their universal dielectric response. The ac responses of granular systems under varied compressive loadings…

无序系统与神经网络 · 物理学 2019-10-25 Chongpu Zhai , Dorian Hanaor , Gwénaëlle Proust , Yixiang Gan

Mechanical responses of soft particle packings to quasi-static deformations are determined by the microscopic restructuring of force-chain networks, where complex non-affine displacements of constituent particles cause the irreversible…

软凝聚态物质 · 物理学 2015-07-17 Kuniyasu Saitoh , Vanessa Magnanimo , Stefan Luding

The requirement that packings of hard particles, arguably the simplest structural glass, cannot be compressed by rearranging their network of contacts is shown to yield a new constraint on their microscopic structure. This constraint takes…

统计力学 · 物理学 2015-06-04 Matthieu Wyart

The force network ensemble is one of the most promising statistical descriptions of granular media, with an entropy accounting for all force configurations at mechanical equilibrium consistent with some external stress. It is possible to…

计算物理 · 物理学 2017-05-05 Manuel A. Cárdenas-Barrantes , Jose Daniel Muñoz , William F. Oquendo

We introduce novel sets of measures with the goal of describing dynamical properties of force networks in dense particulate systems. The presented approach is based on persistent homology and allows for extracting precise, quantitative…

数据分析、统计与概率 · 物理学 2015-06-19 Miroslav Kramar , Arnaud Goullet , Lou Kondic , Konstantin Mischaikow

Stress in dense granular materials and other athermal particle aggregates is transmitted through a visually striking subnetwork of interparticle contacts, the filamentary segments of which are referred to as force chains. The emergence of…

软凝聚态物质 · 物理学 2021-02-16 K. P. Krishnaraj

When dense granular systems are exposed to external forcing, they evolve on the time scale that is typically related to the externally imposed one (shear or compression rate, for example). This evolution could be characterized by observing…

软凝聚态物质 · 物理学 2017-08-02 Lou Kondic , Miroslav Kramar , Lenka Kovalcinova , Konstantin Mischaikow

We propose an alternative approach to count the microscopic static configurations of granular packs under gravity by considering arches. This strategy simplifies the problem of filtering out configurations that are not mechanically stable,…

软凝聚态物质 · 物理学 2015-06-23 D. Slobinsky , Luis A. Pugnaloni

Dense granular materials and other particle aggregates transmit stress in a manner that belies their microstructural disorder. A subset of the particle contact network is strikingly coherent, wherein contacts are aligned nearly linearly and…

软凝聚态物质 · 物理学 2020-05-20 K. P. Krishnaraj , Prabhu R Nott

We study quasi-static deformation of dense granular packings. The packing is deformed by imposing external boundary conditions, which model engineering experiments such as shear and compression. We propose a two-dimensional network model of…

最优化与控制 · 数学 2007-05-23 K. A. Ariyawansa , Leonid Berlyand , Alexander Panchenko

Scaling properties of patterns formed by large contact forces are studied as a function of the applied shear stress, in two-dimensional static packings generated from the force network ensemble. An anisotropic finite-size-scaling analysis…

软凝聚态物质 · 物理学 2007-05-23 Srdjan Ostojic , Thijs J. H. Vlugt , Bernard Nienhuis

After a failure or attack the structure of a complex network changes due to node removal. Here, we show that the degree distribution of the distorted network, under any node disturbances, can be easily computed through a simple formula.…

数据分析、统计与概率 · 物理学 2009-11-13 Bivas Mitra , Niloy Ganguly , Sujoy Ghose , Fernando Peruani

We present an experimental investigation of the probability distribution of normal contact forces, $P(F)$, at the bottom boundary of static three dimensional packings of compressible granular materials. We find that the degree of…

软凝聚态物质 · 物理学 2009-11-07 J. Michael Erikson , Nathan W. Mueggenburg , Heinrich M. Jaeger , Sidney R. Nagel

We study a generic family of nonlinear dynamics on undirected networks generalising linear consensus. We find a compact expression for its equilibrium points in terms of the topology of the network and classify their stability using the…

动力系统 · 数学 2021-12-07 Marc Homs-Dones , Karel Devriendt , Renaud Lambiotte