International Journal of Fracture

, Volume 131, Issue 3, pp L37–L44 | Cite as

Agglomeration and refragmentation in microscale granular flows

  • I. Temizer
  • T. I. Zohdi


A model is developed to describe dendritic agglomeration in microscale granular flows. The individual particulate grains under consideration are approximated as being spheres that remain spherical after impact. The spheres may adhere to one another, forming branched aggregates (“dendrites”), based upon an empirical contact pressure relation. The possibility for fragmentation is also included in the analysis. The computational model developed is used to demonstrate agglomeration behavior in granular flows for a range of control parameters. The results indicate that there is a transition from size-unstable agglomeration to size-stable agglomeration; which is controlled by the velocity field and the material properties.


Mechanical Engineer Material Property Civil Engineer Agglomeration Velocity Field 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. W. Benz. Impact simulations with fracture. 1. method and tests. Icarus, 107:98–116, 1994.Google Scholar
  2. J. Blum and G. Wurm. Impact simulations on sticking, restructuring, and fragmentation of preplanetary dust aggregates. Icarus, 143:138–146, 2000.Google Scholar
  3. A. Chokshi, A. G. G. M. Tielens, and D. Hollenbach. Dust coagulation. The Astrophysical Journal, 407: 806–819, 1993.Google Scholar
  4. C. Dominik and A. G. G. M. Tielens. The physics of dust coagulation and the structure of dust aggregates in space. The Astrophysical Journal, 480:647–673, 1997.Google Scholar
  5. R. H. Huijser, E. G. Van der Sar, and R. Schelling. Cosmic dust aggregation in microgravity flight report of the codag module on maser 8. In Proc. 14th ESA Symposium on European Rocket and Balloon Programmes and Related Research, pages 511–516, Potsdam, Germany, September 1999.Google Scholar
  6. V. F. Nesterenko, M. A. Meyers, H. C. Chen, and J. C. LaSalvia. Controlled high rate localized shear in porous reactive media. Applied Physics Letters, 65(24):3069–3071, 1994.Google Scholar
  7. D. C. Richardson, T. Quinn, J. Stadel, and G. Lake. Direct large-scale n-body simulations of planetesimal dynamics. Icarus, 143:45–59, 2000.Google Scholar
  8. S. Sirono and J. M. Greenberg. Do cometesimal collisions lead to bound rubble piles or to aggregates held together by gravity? Icarus, 145:230–238, 2000.Google Scholar
  9. I. Termizer. A computational model for aggregation in a class of granular materials. Master’s thesis, University of California at Berkeley; Berkeley, California; May 2004.Google Scholar
  10. S. J. Weidenschilling, D. Spaute, D. R. Davis, F. Marzari; and K. Ohtsuki. Accretional evolution of a planetesimal swarm. Icarus, 128:429–455, 1997.Google Scholar
  11. G. Wurm, J. Blum; and J. E. Colwell. A new mechanism relevant to the formation of planetesimals in the solar nebula. Icarus, 151:318–321, 2001.Google Scholar
  12. T. I. Zohdi. Large-scale statistical inverse computation of inelastic accretion in transient granular flows. International Journal of Nonlinear Mechanics, 38(8):1205–1219; 2003.Google Scholar
  13. T. I. Zohdi. Modeling and direct simulation of near-field granular flows. The International Journal of Solids and Structures, 42/2:539–564, 2004(a).Google Scholar
  14. T. I. Zohdi. (accepted) charge-induced clustering in multified particulate flows. International Journal of Numerical Methods in Engineering, 2004(b).Google Scholar

Copyright information

© Springer 2005

Authors and Affiliations

  • I. Temizer
    • 1
  • T. I. Zohdi
    • 1
  1. 1.Department of Mechanical EngineeringUniversity of CaliforniaBerkeleyUSA

Personalised recommendations