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A particle packing method for non-uniform sizes and prescribed filling ratio

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Abstract

This work presents a particle packing method based on a distance minimization procedure with non-uniform sizes and prescribed filling ratio. In the study of engineering problems involving granular systems, like those that employ numerical tools such as the discrete element method, an important modeling task is to produce the initial geometric configuration for a given set of particles. Several methods of particle packing are currently employed for this purpose. In this work, the employed methodology uses the Levenberg–Marquardt minimization strategy and does not require a mesh to generate the initial geometric configuration for the particle set. Also, the technique aims a good approximation for the input parameters of granular media, such as grain size distribution and filling ratio. The proposed methodology is divided into four macro-steps: (a) definition of the initial particle assembly, (b) distance minimization procedure, (c) particle reallocation and d) particle removal. The input data related to the size distribution and filling ratio are used to generate the initial particle assembly, and the following steps are used to eliminate the overlapping between the circles. The packing algorithm presents good computational performance and converges to the input parameters. Granular models generated from real soil data are presented for validation of the proposed strategy.

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References

  1. Cundall PA, Strack ODL (1979) Discrete numerical-model for granular assemblies. Geotechnique 29(1):47–65

    Article  Google Scholar 

  2. Campbell CS, Cleary PW, Hopkins M (1995) Large-scale landslide simulations–global deformation, velocities and basal friction. J Geophys Res Solid Earth 100(B5):8267–8283

    Article  Google Scholar 

  3. Brown K, Attaway S, Plimpton S, Hendrickson B (2000) Parallel strategies for crash and impact simulations. Comput Methods Appl Mech Eng 184(2–4):375–390

    Article  Google Scholar 

  4. Onate E, Rojek J (2004) Combination of discrete element and finite element methods for dynamic analysis of geomechanics problems. Comput Methods Appl Mech Eng 193(27–29):3087–3128

    Article  Google Scholar 

  5. Chang KJ, Taboada A (2009) Discrete element simulation of the Jiufengershan rock-and-soil avalanche triggered by the 1999 Chi-Chi earthquake, Taiwan. J Geophys Res Earth Surf

  6. Mechtcherine V, Gram A, Krenzer K, Schwabe JH, Bellman C, Shyshko S (2014) Simulation of fresh concrete flow, vol 15, 1 edn. Springer,

  7. Liu LF, Zhang ZP, Yu AB (1999) Dynamic simulation of the centripetal packing of mono-sized spheres. Phys A 268(3–4):433–453

    Article  Google Scholar 

  8. Siiria S, Yliruusi J (2007) Particle packing simulations based on Newtonian mechanics. Powder Technol 174(3):82–92

    Article  Google Scholar 

  9. Baugh Jr., Konduri RKS (2001) Discrete element modelling on a cluster of workstations. Eng Comput 17

  10. Cintra DT, Willmersdorf RB, Lyra PRM, Lira WWM (2016) A hybrid parallel dem approach with workload balancing based on hsfc. Emerald Insight 33(1):C96–C126

    Google Scholar 

  11. Cui L, O’Sullivan C (2003) Analysis of a triangulation based approach for specimen generation for discrete element simulations. Granular Matter 5(3):135–145

    Article  Google Scholar 

  12. Frery A, Rivarola-Duarte L, Ramos V, Ramos A, Lira W (2011) Stochastic particle packing with specified granulometry and porosity. Granular Matter, pp 1–10

  13. Feng YT, Han K, Owen DRJ (2003) Filling domains with disks: an advancing front approach. Int J Numer Meth Eng 56(5):699–713

    Article  Google Scholar 

  14. Han K, Feng YT, Owen DRJ (2005) Sphere packing with a geometric based compression algorithm. Powder Technol 155(1):33–41

    Article  Google Scholar 

  15. Labra C, Onate E (2009) High-density sphere packing for discrete element method simulations. Commun Numer Methods Eng 25(7):837–849

    Article  MathSciNet  Google Scholar 

  16. Levenberg K (1944) A method for the solution of certain problems in least squares. Quart Appl Math 2:164–168

    Article  MathSciNet  Google Scholar 

  17. Marquardt DW (1963) An algorithm for least-squares estimation of nonlinear parameters. SIAM J Appl Math 11(2):431–441

    Article  MathSciNet  Google Scholar 

  18. Munjiza A, Andrews KRF (1998) Nbs contact detection algorithm for bodies of similar size. Int J Numer Meth Eng 43(1):131–149

    Article  Google Scholar 

  19. Williams JR, Perkins E, Cook B (2004) A contact algorithm for partitioning arbitrary sized objects. Eng Comput: Int J Comput Aided Eng, pp 235–248

  20. Krumbein WC (1937) The sediments of barataria bay. J Sediment Petrol 7:3–17

    Article  Google Scholar 

  21. Udden JA (1914) Mechanical composition of clastic sediments. Geol Soc Am Bull 22:281–680

    Google Scholar 

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Acknowledgements

The authors thank FAPEAL for their support and funding in research and PETROBRAS for the development of projects that have resulted in this work.

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Correspondence to Lucas Gouveia Omena Lopes.

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Lopes, L.G.O., Gouveia, L.P., Cintra, D.T. et al. A particle packing method for non-uniform sizes and prescribed filling ratio. Engineering with Computers 37, 3003–3015 (2021). https://doi.org/10.1007/s00366-020-00990-4

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  • DOI: https://doi.org/10.1007/s00366-020-00990-4

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