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Granular flow in silos - observations and comments Jørgen Nielsen Danish Building and Urban Research SAMSI Workshop on Fluctuations and continuum Equations for Granular flow, April 16-17, 2004

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Silo versus hydrostatic pressure

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Focus on understanding phenomena Observations from silo tests Comments related to Physical and mathematical modelling – Continuum / discrete particles Phenomena observed in silos Stochastic approach

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Physical modelling versus mathematical modelling Mathematical modelling is needed to generalise our understanding of physical phenomena and to predict behaviour under specified circumstances Physical modelling is wanted for controlled experiments in order to systematically observe and explore phenomena as a basis for mathematical modelling - and to verify such models

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Silo scales

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A good scientific physical model is more than just a small scale structure The creation of a model law calls for some considerations: Which phenomena to cover? Discrete particles or continuum approach? Which mathematical model to be based on? – Must be precisely formulated, but you may not be able to solve the equations Leads to the model law: Model Requirements and a Scaling Law Ref: J. Nielsen Model laws for granular media and powders with special view to silo models, Archives of Mechanics, 29, 4, pp , Warzawa, 1977

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Particle history

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Discrete particles

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Model law – discrete, particles Model requirements K x (scaled particles) K g = 1/ K x (centrifuge) …….. Scaling law K = 1 K t = K x (Forces of inertia) K t = 1 (Time dep. Konst. rel.) K t = 1 (Pore flow)

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The centrifuge model - filling

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Centrifuge, continuum approach

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Stacking the particles

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Landslide

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Cone squeeze

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Distributed filing

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Fluidized powder

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Anisotropy from inclined filling

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Preferred orientation - anisotropy

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Outcomes of filling from the stacking process Density Pore pressure Homogeneity Anisotropy - and thus strength, stiffness and rupture mode of the ensiled solids

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From contact forces to pressure

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Relative standard deviation Test Diameter of particle Pressure cell diameter Surface area of pressure cell

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Pressure cell reading -fluctuations

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Pressure distribution with time and height

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Circumferential distribution of maximum discharge pressures – Wheat, eccentric inlet and outlet

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Circumferential distribution of maximum discharge pressures – Barley, eccentric inlet and outlet

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Large pressure gradients

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Geometrical wall imperfections

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Load consequences of geometrical wall imperfections

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Dilating boundary layer

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Dilating boundary layer, details

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Rotational symmetrical pressure distribution – almost (Jørgen Munch-Andersen)

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Formation of rupture planes in dense materials

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Dynamics

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On the search of a suitable model for the stress- strain relationship in granular materials

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The modelling challenges SiloModel Natural field of gravity Model Centrifuge field of gravity GrainImperfections Boundary layer Imperfections Boundary layer Scaled particles Filling Powder(Cohesion) Pore pressure (Filling) Pore pressure P.S. Time dependent material behaviour may cause scale errors

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A friendly silo problem - may be characterised by: A non-cohesive powder Aerated filling Low wall friction Mass flow

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A bad silo problem - may be characterised by: Coarse-grained sticky particles Eccentric filling High wall friction Pipe flow expanding upwards until the full cross section has become involved

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Items for a stochastic/statistic treatment Redistribution of pressure due to imperfections of wall geometry The value of material parameters for the (future) stored material The wall friction coefficient The formation of unsymmetrical flow patterns in symmetrical silos – and their load implications Wall pressure fluctuations - load redistributions The formation of rupture planes in dense materials

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