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相关论文: Ensemble Theory for Force Networks in Hyperstatic …

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An ensemble approach for force distributions in static granular packings is developed. This framework is based on the separation of packing and force scales, together with an a-priori flat measure in the force phase space under the…

无序系统与神经网络 · 物理学 2009-11-10 Jacco H. Snoeijer , Thijs. J. H. Vlugt , Martin van Hecke , Wim van Saarloos

For packings of hard but not perfectly rigid particles, the length scales that govern the packing geometry and the contact forces are well separated. This separation of length scales is explored in the force network ensemble, where one…

软凝聚态物质 · 物理学 2010-08-03 Brian P. Tighe , Jacco H. Snoeijer , Thijs J. H. Vlugt , Martin van Hecke

The heterogeneous force networks in static granular media --- formed from contact forces between grains and spanning from boundary to boundary in the packing --- are distinguished from other network structures in that they must satisfy…

软凝聚态物质 · 物理学 2010-08-11 Brian P. Tighe , Thijs J. H. Vlugt

Transmission of forces in static granular materials are studied within the framework of the force network ensemble, by numerically evaluating the mechanical response of hexagonal packings of frictionless grains and rectangular packings of…

软凝聚态物质 · 物理学 2007-05-23 Srdjan Ostojic , Debabrata Panja

Force networks form the skeleton of static granular matter. They are the key ingredient to mechanical properties, such as stability, elasticity and sound transmission, which are of utmost importance for civil engineering and industrial…

软凝聚态物质 · 物理学 2009-11-11 Srdjan Ostojic , Ellak Somfai , Bernard Nienhuis

We present an experiment in which a horizontal quasi-2D granular system with a fixed neighbor network is cyclically compressed and decompressed over 1000 cycles. We remove basal friction by floating the particles on a thin air cushion, so…

软凝聚态物质 · 物理学 2017-08-02 Jonathan E. Kollmer , Karen E. Daniels

A remarkable feature of static granular matter is the distribution of force along intricate networks. Even regular inter-particle contact networks produce wildly inhomogeneous force networks where certain "chains" of particles carry forces…

软凝聚态物质 · 物理学 2008-01-24 John F. Wambaugh

We study the geometry of forces in some simple models for granular stackings. The information contained in geometry is complementary to that in the distribution of forces in a single inter-particle contact, which is more widely studied. We…

统计力学 · 物理学 2007-05-23 Srdjan Ostojic , Bernard Nienhuis

A load applied to a jammed frictional granular system will be localized into a network of force chains making inter-particle connections throughout the system. Because such systems are typically under-constrained, the observed force network…

软凝聚态物质 · 物理学 2018-07-06 Jonathan E. Kollmer , Karen E. Daniels

The relation between packing geometry and force network statistics is studied for granular media. Based on simulations of two-dimensional packings of Hertzian spheres, we develop a geometrical framework relating the distribution of…

无序系统与神经网络 · 物理学 2007-05-23 Jacco H. Snoeijer , Martin van Hecke , Ellak Somfai , Wim van Saarloos

We numerically study the distribution P(f) of contact forces in frictionless bead packs, by averaging over the ensemble of all possible force network configurations. We resort to umbrella sampling to resolve the asymptotic decay of P(f) for…

Force chains form heterogeneous physical structures that can constrain the mechanical stability and acoustic transmission of granular media. However, despite their relevance for predicting bulk properties of materials, there is no agreement…

软凝聚态物质 · 物理学 2015-04-24 Danielle S. Bassett , Eli T. Owens , Mason A. Porter , M. Lisa Manning , Karen E. Daniels

Granular materials transmit stress via a network of force chains. Despite the importance of these chains to characterizing the stress state and dynamics of the system, there is no common framework for quantifying their their properties.…

软凝聚态物质 · 物理学 2015-08-25 Yuming Huang , Karen E. Daniels

The force networks of different granular ensembles are defined and their topological properties studied using the tools of complex networks. In particular, for each set of grains compressed in a square box, it is introduced a force…

无序系统与神经网络 · 物理学 2007-09-18 Roberto Arevalo , Iker Zuriguel , Diego Maza

Developing quantitative methods for characterizing structural properties of force chains in densely packed granular media is an important step toward understanding or predicting large-scale physical properties of a packing. A promising…

软凝聚态物质 · 物理学 2016-10-05 Chad Giusti , Lia Papadopoulos , Eli T. Owens , Karen E. Daniels , Danielle S. Bassett

The force network of a granular assembly, defined by the contact network and the corresponding contact forces, carries valuable information about the state of the packing. Simple analysis of these networks based on the distribution of force…

软凝聚态物质 · 物理学 2016-07-06 L. A. Pugnaloni , C. M. Carlevaro , M. Kramar , K. Mischaikow , L. Kondic

The interactions between particles in particulate systems are organized in `force networks', mesoscale features that bridge between the particle scale and the scale of the system as a whole. While such networks are known to be crucial in…

Simulated granular packings with different particle friction coefficient mu are examined. The distribution of the particle-particle and particle-wall normal and tangential contact forces P(f) are computed and compared with existing…

统计力学 · 物理学 2009-11-07 Leonardo E. Silbert , Gary S. Grest , James W. Landry

A method has been found to analyze Edwards' granular contact force probability functional for a special case. As a result, the granular contact force probability density functions are obtained from first principles for this case. The…

统计力学 · 物理学 2009-11-10 Philip Metzger

We present a minimalistic approach to simulations of force transmission through granular systems. We start from a configuration containing cohesive (tensile) contact forces and use an adaptive procedure to find the stable configuration with…

软凝聚态物质 · 物理学 2009-10-31 Alexei V. Tkachenko , Thomas A. Witten
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