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The distance potential function-based finite-discrete element method

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Abstract

The work is devoted to a coupling method for the finite element method (FEM) and the distance potential discrete element method. In this work, a well-defined distance potential function is developed. Meanwhile, a holonomic and precise algorithm for contact interaction is established, accounting for the influence of the tangential contact force. In addition, the measurement of deformation behaviors of each discrete element is handled by the FEM, where the coupling model and the conversion method of the equivalent nodal force accounting for the influence of contact forces are proposed to generate the corresponding equations of motion. Finally, the velocity verlet algorithm is applied enabling the significant simplification for the calculation of the equations of motion. The proposed approach provides an accurate contact interaction avoiding the influence of the element shape and reflect the movement procedure of multiple deformable bodies precisely. This viewpoint is proved by the classical benchmark cases.

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References

  1. Tang XH, Paluszny A, Zimmerman RW (2014) An impulse-based energy tracking method for collision resolution. Comput Methods Appl Mech Eng 278:160–185

    Article  MathSciNet  Google Scholar 

  2. Chen LP, Li XJ, Zhang YH, Chen TW, Xiao SY, Liang HJ (2018) Morphological and mechanical determinants of cellular uptake of deformable nanoparticles. Nanoscale 10:11969–11979

    Article  Google Scholar 

  3. Cundall PA, Strack ODL (1979) A discrete numerical model for granular assemblies. Géotechnique 29:47–65

    Article  Google Scholar 

  4. Cundall PA (1988) Formulation of a three-dimensional distinct element model—part I. A scheme to detect and represent contacts in a system composed of many polyhedral blocks. Int J Rock Mech Min Sci Geomech Abstracts 25:107–116

    Article  Google Scholar 

  5. Hart R, Cundall PA, Lemos J (1988) Formulation of a three-dimensional distinct element model—part II. Mechanical calculations for motion and interaction of a system composed of many polyhedral blocks. Int J Rock Mech Min Sci Geomech Abstracts 25:117–125

    Article  Google Scholar 

  6. Smoljanovic H, Zivaljic N, Nikolic Z, Munjiza A (2018) Numerical analysis of 3D dry-stone masonry structures by combined finite-discrete element method. Int J Solids Struct 136:150–167

    Article  Google Scholar 

  7. Zhao LH, Liu XN, Mao J, Xu D, Munjiza A, Avital E (2018) A novel contact algorithm based on a distance potential function for the 3D discrete-element method. Rock Mech Rock Eng 51:3737–3769

    Article  Google Scholar 

  8. Zhao LH, Liu XN, Mao J, Shao LY, Li TC (2020) Three-dimensional distance potential discrete element method for the numerical simulation of landslides. Landslides 17:361–377

    Article  Google Scholar 

  9. Bao HR, Zhao ZY (2012) The vertex-to-vertex contact analysis in the two-dimensional discontinuous deformation analysis. Adv Eng Softw 45:1–10

    Article  Google Scholar 

  10. Munjzia A, Owen DRJ (1995) A combined finite-discrete element method in transient dynamics of fracturing solids. Int J Eng Comput 12:145–174

    Google Scholar 

  11. Munjiza A, Andrews KRF (1998) NBS contact detection algorithm for bodies of similar size. Int J Numer Methods Eng 43:131–149

    Article  Google Scholar 

  12. Munjzia A (2004) The combined finite-discrete element method. Wiley, Chichester

    Book  Google Scholar 

  13. Smoljanovic H, Nikolic Z, Zivaljic N (2015) A finite-discrete element model for dry stone masonry structures strengthened with steel clamps and bolts. Eng Struct 90:117–129

    Article  Google Scholar 

  14. Barla M, Piovano G, Grasselli G (2012) Rock slide simulation with the combined finite-discrete element method. Int J Geomech 12:711–721

    Article  Google Scholar 

  15. Vyazmensky A, Stead D, Elmo D, Moss A (2010) Numerical analysis of block caving-induced instability in large open pit slopes: a finite element/discrete element approach. Rock Mech Rock Eng 43:21–39

    Article  Google Scholar 

  16. Fathani TF, Karnawati D, Wilopo W (2016) An integrated methodology to develop a standard for landslide early warning systems. Nat Hazard Earth Sys 16:2123–2135

    Article  Google Scholar 

  17. Mao J, Zhao LH, Di YT, Liu XN, Xu WY (2020) A resolved CFD-DEM approach for the simulation of landslides and impulse waves. Comput Methods Appl Mech Eng 359

  18. Mao J, Zhao LH, Liu XN, Avital E (2020) A resolved CFDEM method for the interaction between the fluid and the discontinuous solids with large movement. Int J Numer Meth Eng 121:1738–1761

    Article  MathSciNet  Google Scholar 

  19. Zhao LH, Liu XN, Mao J, Xu D, Munjiza A, Avital E (2018) A novel discrete element method based on the distance potential for arbitrary 2D convex elements. Int J Numer Methods Eng 115:238–267

    Article  MathSciNet  Google Scholar 

  20. Yan CZ, Zheng H (2017) A new potential function for the calculation of contact forces in the combined finite-discrete element method. Int J Numer Anal Meth Geomech 41:265–283

    Article  Google Scholar 

  21. Xiang J, Munjiza A, Latham J (2009) Finite strain, finite rotation quadratic tetrahedral element for the combined finite–discrete element method. Int J Numer Methods Eng 79:946–978

    Article  MathSciNet  Google Scholar 

  22. Dasgupta G (2003) Interpolants within convex polygons: wachspress’ shape functions. J Aerospace Eng 16:1–8

    Article  Google Scholar 

  23. Allen MP, Tildesley DJ (1987) Computer simulation of liquids. Oxford University Press, Oxford

    MATH  Google Scholar 

  24. Euser B, Rougier E, Zhou L, Knight EE, Frash LP, Carey JW, Viswanathan H, Munjiza A (2019) Simulation of fracture coalescence in granite via the combined finite—discrete element method. Rock Mech Rock Eng 52:3213–3227

    Article  Google Scholar 

  25. Feng YT, Han K, Owen DRJ (2012) Energy-conserving contact interaction models for arbitrarily shaped discrete elements. Comput Methods Appl Mech Eng 205:169–177

    Article  MathSciNet  Google Scholar 

  26. Zienkiewicz OC, Taylor RL, Zhu JZ (2005) The finite element method: its basis and fundamentals. Elsevier Butterworth-Heinemann, Amsterdam

    MATH  Google Scholar 

  27. Munjiza A, Rougier E, Knight EE (2015) Large strain finite element method: a practical course. Wiley, Chichester

    MATH  Google Scholar 

  28. Komodromos P (2005) A simplified updated Lagrangian approach for combining discrete and finite element methods. Comput Mech 35:305–313

    Article  Google Scholar 

  29. Bathe K, Ramm E, Wilson EL (1975) Finite element formulations for large deformation dynamic analysis. Int J Numer Methods Eng 9:353–386

    Article  Google Scholar 

  30. Xu W, Zang MY (2014) Four-point combined DE/FE algorithm for brittle fracture analysis of laminated glass. Int J Solids Struct 51:1890–1900

    Article  Google Scholar 

  31. Brezeanu LC (2015) Contact stresses between two cylindrical bodies: cylinder and cylindrical cavity with parallel axes—part I: theory and FEA 3D modeling. Procedia Technol 19:169–176

    Article  Google Scholar 

  32. Jiang Y, Herrmann HJ, Alonsomarroquin F (2018) A boundary-spheropolygon element method for stress determination and breakage modelling of particles. arXiv: Soft Condensed Matter (2018)

  33. Galindo-Torres SA, Alonso-Marroquin F, Wang YC, Pedroso D, Castano JDM (2009) Molecular dynamics simulation of complex particles in three dimensions and the study of friction due to nonconvexity. Phys Rev E 79:060301

    Article  Google Scholar 

  34. Alonso-Marroquin F (2008) Spheropolygons: a new method to simulate conservative and dissipative interactions between 2D complex-shaped rigid bodies. Epl-Europhys Lett 83:14001

    Article  Google Scholar 

Download references

Acknowledgements

This work is supported by the National Key R&D Program of China (Grant 2018YFC0406705), China Postdoctoral Science Foundation Funded Project (Grant 2019M651677), the 15th Fok Ying-Tong Education Foundation for Young Teachers in the Higher Education Institutions of China (Grant 151073), the Priority Academic Program Development of Jiangsu Higher Education Institutions (Grant YS11001), the 111 Project and Qing Lan Project.

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Correspondence to Lanhao Zhao.

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Liu, X., Mao, J., Zhao, L. et al. The distance potential function-based finite-discrete element method. Comput Mech 66, 1477–1495 (2020). https://doi.org/10.1007/s00466-020-01913-2

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