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Kinematics and kinetics of granular ...
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University of Illinois at Urbana-Champaign.
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Kinematics and kinetics of granular mixture: Experimental and numerical studies.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Kinematics and kinetics of granular mixture: Experimental and numerical studies./
作者:
Zhang, Jiafeng.
面頁冊數:
198 p.
附註:
Adviser: Jonathan Freund.
Contained By:
Dissertation Abstracts International70-06B.
標題:
Applied Mechanics. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3363124
ISBN:
9781109224511
Kinematics and kinetics of granular mixture: Experimental and numerical studies.
Zhang, Jiafeng.
Kinematics and kinetics of granular mixture: Experimental and numerical studies.
- 198 p.
Adviser: Jonathan Freund.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2009.
Particle motion in dense granular materials is well-correlated locally, but uncorrelated globally, likely due to the highly dissipative nature of the material. This combination makes predictive modeling difficult, and there is no constitutive model for densely flowing granular materials. On the other hand, the relatively uncorrelated motion often results in highly symmetric system-spanning patterns of well-sorted particles. These patterns appear highly sensitive to the type of particulate mixture. Up to now, no link has been made between the particle properties and the kinematics of the bulk behavior such as velocity, volume fraction and velocity fluctuations. This thesis seeks to understand the bulk behavior of granular mixtures.
ISBN: 9781109224511Subjects--Topical Terms:
1018410
Applied Mechanics.
Kinematics and kinetics of granular mixture: Experimental and numerical studies.
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Particle motion in dense granular materials is well-correlated locally, but uncorrelated globally, likely due to the highly dissipative nature of the material. This combination makes predictive modeling difficult, and there is no constitutive model for densely flowing granular materials. On the other hand, the relatively uncorrelated motion often results in highly symmetric system-spanning patterns of well-sorted particles. These patterns appear highly sensitive to the type of particulate mixture. Up to now, no link has been made between the particle properties and the kinematics of the bulk behavior such as velocity, volume fraction and velocity fluctuations. This thesis seeks to understand the bulk behavior of granular mixtures.
520
$a
In this thesis, experimental measurements and computational simulations of granular mixtures in dense free surface granular flow in a rotating drum are presented. The effects of particle size, particle density, and interstitial fluids on the average velocities, segregation velocities, and velocity fluctuations are investigated. It is found that in the mixture of the particles, the magnitude of the velocity fluctuations---often associated with a granular temperature---have a complicated dependence on the particle properties, that depends on the regime of flow. The average velocities seem simple at first glance---the particles move with roughly the same velocities, except for a relatively small segregation velocity primarily perpendicular to the free surface and a small drift velocity parallel to the free surface. However, these migration velocities have a more complicated dependence on size, density, and the state of flow than at first glance, as will be detailed in this thesis.
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Additionally, kinetic properties are investigated for a few cases, primarily computationally. Specifically, the sources and sinks of energy are investigated---the major dissipation of energy is found to be frictional sliding. Additionally, the distribution of forces in the solid-like bulk and the fluid-like flow are investigated for different mixtures---for all cases, the probability distribution function of the forces decays exponentially, though the exponent is mixture-dependent. Finally, both kinematics and kinetics of granular materials are investigated for shallow flows in a drum and compared with a model system for debris flow. Both the simulation and experimental model of dry debris flow show understanding the segregation in a granular mixture is important for predicting erosion and hazard potential in coarse debris flows.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3363124
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