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Computational Mech Granular Lab at Dalian University

Dalian University of Technology
Computational Granular Mechanics and Engineering Applications
Professor Shunying Ji

July 2020


Our research interests are computational granular mechanics and engineering applications. We focus on the developments of irregularly shaped (convex and concave) particles for discrete element method (DEM), multi-scale coupling model between different numerical methods and different materials. The numerical methods are applied in ocean engineering in cold regions, geotechnical engineering, and process engineering. The problems we are committed to solving include the interaction between sea ice and marine structures, the dynamic behaviors of ballast under cyclic loads, and the physical properties of granular materials in process engineering.


We develop DEM code in the GPU-based parallel environment. The element types include sphere, dilated polyhedron, and superquadric. The finite element method (FEM), smoothed particle hydrodynamics (SPH), and multi-body dynamics (MBD) are developed in our codes to establish DEM-FEM, DEM-SPH, FEM-DEM-SPH, and MBD-DEM-FEM coupling models. 


Developed local domain method in sphere-based DEM for ice-structure interaction simulation, a fast contact detection method for dilated polyhedron and bond-failure criterion for sea ice simulation. Developed software based on DEM to compute the ice load on ship structures navigating in the ice covered regions.


The numerical methods in our codes and the software have been used by shipbuilding industries, design institutes, and universities.

Selected Publications

  1. S. Ji, Lu Liu. Computational Granular Mechanics and Its Engineering Applications . Springer, 2020. ISBN 978-981-15-3303-
  2. S. Ji, S. Wang. A coupled discrete-finite element method for ice-induced vibrations of conical jacket platform with GPU-based parallel algorithm . International Journal of Computational Methods, 2020, 17(4): 1850147.
  3. S. Wang, D. Marmysh, S. Ji. Construction of irregular particles with superquadric equation in DEM . Theoretical and Applied Mechanics Letters, 2020, 10: 68-73.
  4. X. Long, S. Liu, S. Ji. Discrete element modelling of relationship between ice breaking length and ice load on conical structure. Ocean Engineering, 2020, 201: 107152
  5. L. Liu, S. Ji. Bond and fracture model in dilated polyhedral DEM and its application to simulate breakage of brittle materials . Granular Matter, 2019, 21:41.
  6. S. Ji, S. Wang, Z. Peng. Influence of external pressure on granular flow in a cylindrical silo based on discrete element method. Powder Technology, 2019, 345, 702-714.
  7. X. Long, S. Ji, Yuefang Wang. Validation of micro-parameters in discrete element modeling of sea ice failure process. Particulate Science and Technology, 2019, 37(5): 546-555.
  8. S. Wang, Y. Fan, S. Ji. Interaction between super-quadric particles and triangular elements and its application to hopper discharge. Powder Technology, 2018, 339: 534-549
  9. Y. Li, S. Ji. A geometric algorithm based on the advancing front approach for sequential sphere packing. Granular Matter, 2018, 20:59
  10. S. Wang, S. Ji. Coupled DEM-FEM analysis of ice-induced vibrations of conical jacket platform based on domain decomposition method. International Journal of Offshore and Polar Engineering, 2018, 28(2): 190-199.

Core Competencies

  • Computational mechanics
  • High-performance computing
  • Damage and fracture mechanics
  • Ice load analysis for marine structures
  • Ice-induced vibration of offshore structures
  • Particulate engineering

Dalian Univ of Tech Granular Lab

Second Lead Researcher:   
Lu Liu, Ph.D.  

Current Members: 

  • Biyao Zhai (Ph.D. Student)
  • Siqiang Wang (Ph.D. Student)
  • Shaomin Liang (Ph.D. Student)
  • Ji Li (Ph.D. Student)
  • Xu Li (Ph.D Student)
  • DongBao Yang (M.S. Student)
  • Shuaikang He (M.S. Student)
  • Jie Wu (M.S. Student)

Recent Graduates:  

  • Shuai Kong (Ph.D) 
  • Rui Zhang (M.S) 
  • Deng Xu (M.S)


  • Profs. Hung Tao Shen and Hayley Shen, Clarkson University 
  • Prof. Yuntian Feng, Swansea University 
  • Prof. Andrew Chan, University of Tasmania