Grain-resolving simulations of cohesive granular collapse
ORAL
Abstract
We investigate the submerged collapse of weakly polydisperse, loosely packed cohesive granular columns, as a function of aspect ratio and cohesive force strength, via grain-resolving direct numerical simulations. The cohesive force acts to prevent the detachment of individual particles from the main body of the collapsing column, reduce its front velocity, and yield a shorter and thicker final deposit. All of these effects can be accurately captured across a broad range of parameters by piecewise power-law relationships. The cohesive force significantly reduces the amount of available potential energy released by the particles. For shallow columns, the particle and fluid kinetic energy decreases for stronger cohesion. For tall columns, on the other hand, moderate cohesive forces increase the maximum particle kinetic energy, since they accelerate the initial free-fall of the upper column section. Only for larger cohesive forces does the peak kinetic energy of the particles decrease. Computational particle tracking indicates that the cohesive force reduces the mixing of particles within the collapsing column, and it identifies the regions of origin of those particles that travel the farthest. The simulations demonstrate that cohesion promotes aggregation and the formation of flocs. They furthermore provide complete information on the temporally and spatially evolving network of cohesive and direct contact force bonds. While the normal contact forces are primarily aligned in the vertical direction, the cohesive bonds adjust their preferred spatial orientation throughout the collapse. They result in a net compressional stress that slows the spreading of the advancing particle front.
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Presenters
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Eckart H Meiburg
University of California, Santa Barbara
Authors
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Eckart H Meiburg
University of California, Santa Barbara
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Rui Zhu
UC Santa Barbara and Ocean College, Zhejiang University
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Zhiguo He
Ocean College, Zhejiang University
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Kunpeng Zhao
Xi'an Jiaotong University
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Bernhard Vowinckel
TU Braunschweig