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相关论文: Memory Effects in Granular Material

200 篇论文

We present some simple computer simulations that indicate that at short time aging is realized in a simple model of binary glasses. It is interesting to note that modest computer simulations are enough to evidenziate this effect. We also…

无序系统与神经网络 · 物理学 2008-02-03 Giorgio Parisi

The aging dynamics and the fluctuation-dissipation relation between the spontaneous diffusion induced by a random noise and the drift motion induced by a small stirring force are numerically investigated in a 3D schematic model of…

统计力学 · 物理学 2009-10-31 M. Sellitto

We demonstrate experimentally that a granular packing of glass spheres is capable of storing memory of multiple strain states in the dynamic process of stress relaxation. Modeling the system as a non-interacting population of relaxing…

软凝聚态物质 · 物理学 2020-04-29 Kieran A. Murphy , Jonathon W. Kruppe , Heinrich M. Jaeger

We present here the preliminary results obtained for two experiments on randomly agitated granular assemblies using a novel way of shaking. First we discuss the transport properties of a 2D model system undergoing classical shaking that…

统计力学 · 物理学 2009-11-10 G. Caballero , A. Lindner , G. Ovarlez , G. Reydellet , J. Lanuza , E. Clement

Cooperative events requiring anomalously large fluctuations are a defining characteristic for the onset of glassy relaxation across many materials. The importance of such intermittent events has been noted in systems as diverse as…

软凝聚态物质 · 物理学 2021-12-10 Stefan Boettcher , Paula A. Gago , Paolo Sibani

In this paper we analyze the changes in the microscopic dynamics of a colloidal glass submitted to an oscillatory shear. We use Multispeckle diffusing Wave Spectroscopy to monitor the transient dynamical regimes following a shear…

软凝聚态物质 · 物理学 2007-05-23 Virgile Viasnoff , Francois Lequeux

Complex systems having metastable elements often demonstrate nearly log-time relaxations and a kind of aging: repeated stimuli weaken the system's relaxational response. Granular matter is known to exhibit a wealth of such behaviors, for…

软凝聚态物质 · 物理学 2014-06-16 V. Y. Zaitsev , V. E. Gusev , V. Tournat , P. Richard

We present experiments showing that a granular system of small beads does exhibit ageing properties : its maximum stability angle is measured to increase logarithmically with resting time, i.e. the time elapsed before performing the…

凝聚态物理 · 物理学 2007-05-23 L. Bocquet , E. Charlaix , S. Ciliberto , J. Crassous

Granular materials can fail through spontaneous events like earthquakes or brittle fracture. However, measurements and analytic models which forecast failure in this class of materials, while of both fundamental and practical interest,…

软凝聚态物质 · 物理学 2018-06-04 Theodore A. Brzinski , Karen E. Daniels

The spin memory effect is a recently predicted relativistic phenomenon in asymptotically flat spacetimes that become nonradiative infinitely far in the past and future. Between these early and late times, the magnetic-parity part of the…

广义相对论与量子宇宙学 · 物理学 2017-04-28 David A. Nichols

Elastic and dissipative properties of granular assemblies under uniaxial compression are studied both experimentally and by numerical simulations. Following a novel compaction procedure at varying oscillatory pressures, the stress response…

软凝聚态物质 · 物理学 2009-11-11 Jasna Brujic , Ping Wang , Chaoming Song , David L. Johnson , Olivier Sindt , Hernan A. Makse

We observe non-monotonic aging and memory effects, two hallmarks of glassy dynamics, in two disordered mechanical systems: crumpled thin sheets and elastic foams. Under fixed compression, both systems exhibit monotonic non-exponential…

软凝聚态物质 · 物理学 2017-04-14 Yoav Lahini , Omer Gottesman , Ariel Amir , Shmuel M. Rubinstein

Aging phenomena have been studied in very different materials like polymers, supercooled liquids or disordered orientational crystals. We recall here the main features of aging in spin glasses, and use this example of magnetic systems as a…

无序系统与神经网络 · 物理学 2007-05-23 J. Hammann , E. Vincent , V. Dupuis , M. Alba , M. Ocio , J. -P. Bouchaud

We perform experimental and numerical studies of a granular system under cyclic-compression to investigate reversibility and memory effects. We focus on the quasi-static forcing of dense systems, which is most relevant to a wide range of…

软凝聚态物质 · 物理学 2021-07-07 Zackery A. Benson , Anton Peshkov , Derek C. Richardson , Wolfgang Losert

We report numerical simulations of strongly vibrated granular materials designed to mimic recent experiments performed both in presence [1] or absence [2] of gravity. We show that a model with impact velocity dependent restitution…

统计力学 · 物理学 2015-06-24 Sean McNamara , Eric Falcon

Granular crystallisation is an important phenomenon whereby ordered packing structures form in granular matter under vibration. However, compared with the well-developed principles of crystallisation at the atomic scale, crystallisation in…

无序系统与神经网络 · 物理学 2018-05-22 Weijing Dai , Joerg Reimann , Dorian Hanaor , Claudio Ferrero , Yixiang Gan

We report the experimental observation of memory effects in a vertically vibrated thin granular layer. Following a quench in the input acceleration, the granular temperature exhibits an anomalous Kovacs memory effect confined to the initial…

The dielectric susceptibility of the molecular liquid sorbitol below its calorimetric glass transition displays memory strikingly similar to that of a variety of glassy materials. During a temporary stop in cooling, the susceptibility…

软凝聚态物质 · 物理学 2009-11-07 H. Yardimci , R. L. Leheny

The slow compaction of a gently tapped granular packing is reminiscent of the low-temperature dynamics of structural and spin glasses. Here, I probe the dynamical spectrum of granular compaction by measuring a complex (frequency-dependent)…

软凝聚态物质 · 物理学 2010-04-05 Ling-Nan Zou

A spin glass is a diluted magnetic material in which the magnetic moments are randomly interacting, with a huge number of metastable states which prevent reaching equilibrium. Spin-glass models are conceptually simple, but require very…

无序系统与神经网络 · 物理学 2023-03-03 Eric Vincent