Abstract
The determination of parameters is a key issue in discrete element simulation and controls the accuracy and reliability of the simulation results. In this paper, a sandy loam soil with three water contents is studied and soil particles based on the EEPA model are modelled in three shapes (spheres, columns and Triangular pyramid) to accurately represent the actual soil particle. The sensitivity of the input parameters in the EEPA model is investigated by the Plackett–Burman test. The results show that the coefficient of static friction, coefficient of rolling friction and surface energy between soil particles have a highly significant effect on the angle of repose, and the coefficient of restitution has a significant effect on the angle of repose. The sensitivity parameters are calibrated by the central combination test, and the optimal combination of parameters is obtained. The accuracy of the parameters calibrated is validated by comparing the simulation results of the direct shear test with the actual test results. Therefore, the parameters calibrated satisfy both the flow and mechanical properties of the particles.
Similar content being viewed by others
Abbreviations
- FEM:
-
Finite element modelling
- CFD:
-
Computational fluid dynamics
- DEM:
-
Discrete element method
- JKR:
-
Johnson-Kendall-Roberts
- EEPA:
-
Edinburgh elasto-plastic adhesive
- f n :
-
Normal force (N)
- f hys :
-
Hysteresis spring force (N)
- f nd :
-
Normal damping force (N)
- u :
-
Unit normal vector
- k 1 :
-
Loading stiffness (N m−1)
- k 2 :
-
Unloading/reloading stiffness (N m−1)
- k adh :
-
Adhesion stiffness (N m−1)
- N:
-
Slope exponent
- \(m*\) :
-
Equivalent mass (g)
- f t :
-
Tangential force (N)
- f ts :
-
Tangential elastic force (N)
- f td :
-
Tangential damping force (N)
- \(k_{{\text{t}}}\) :
-
Tangential stiffness coefficient
- \(f_{{{\text{ct}}}}\) :
-
Ultimate tangential friction force (N)
- C :
-
Force loop factor
- R :
-
Reading of the force gauge (0.01 mm)
- A :
-
Cross-sectional area of the shear box (mm2)
- S :
-
Shear strength (kPa)
- c :
-
Cohesive strength (kPa)
- δ :
-
Normal overlap (m)
- \(\upsilon_{{\text{n}}}\) :
-
Normal relative velocity (m s−1)
- \(\beta_{{\text{n}}}\) :
-
Normal damping factor
- \(\beta_{{\text{t}}}\) :
-
Tangential damping factor
- \(\delta_{{\text{t}}}\) :
-
Tangential displacement increment (m)
- \(\upsilon_{{\text{t}}}\) :
-
Tangential relative velocity (m s−1)
- \(\mu\) :
-
Coefficient of friction
- \(\tau_{{\text{i}}}\) :
-
Total applied torque (N m)
- \(\mu_{{\text{r}}}\) :
-
Coefficient of rolling friction
- \(\tau\) :
-
Shear stress (kPa)
- Φ:
-
Angle of internal friction (deg)
- \(\sigma\) :
-
Vertical load (kPa)
References
Chen Y, Munkholm LJ, Nyord T (2013) A discrete element model for soil–sweep interaction in three different soils. Soil Tillage Res 126:34–41
Shmulevich I, Asaf Z, Rubinstein D (2007) Interaction between soil and a wide cutting blade using the discrete element method. Soil Tillage Res 97:37–50
Cundall PA, Strack ODL (1979) A discrete numerical model for granular assemblies. Geotechnique 29:47–65
Ucgul M, Saunders C (2020) Simulation of tillage forces and furrow profile during soil-mouldboard plough interaction using discrete element modelling. Biosyst Eng 190:58–70
Barr J, Desbiolles J, Ucgul M, Fielke JM (2020) Bentleg furrow opener performance analysis using the discrete element method. Biosyst Eng 189:99–115
Feng YT, Owen DRJ (2014) Discrete element modelling of large scale particle systems—I: exact scaling laws. Comput Part Mech 1:159–168
Feng YT, Munjiza A, Loughran J (2009) On upscaling of discrete element models: similarity principles. Eng Comput 26:599–609
Milkevych V, Munkholm LJ, Chen Y, Nyord T (2018) Modelling approach for soil displacement in tillage using discrete element method. Soil Tillage Res 183:60–71
Wang Y, Zhang D, Yang L, Cui T, Jing H, Zhong X (2020) Modeling the interaction of soil and a vibrating subsoiler using the discrete element method. Comput Electron Agric 174:105518
Asaf Z, Rubinstein D, Shmulevich I (2007) Determination of discrete element model parameters required for soil tillage. Soil Tillage Res 92:227–242
Ono I, Nakashima H, Shimizu H, Miyasaka J, Ohdoi K (2013) Investigation of elemental shape for 3D DEM modeling of interaction between soil and a narrow cutting tool. J Terramechanics 50:265–276
Ucgul M, Fielke JM, Saunders C (2015) Three-dimensional discrete element modelling (DEM) of tillage: accounting for soil cohesion and adhesion. Biosyst Eng 129:298–306
Morrissey JP (2013) Discrete element modelling of iron ore pellets to include the effects of moisture and fines. The University of Edinburgh, Edinburgh
Mak J, Chen Y, Sadek MA (2012) Determining parameters of a discrete element model for soil–tool interaction. Soil Tillage Res 118:117–122
Roessler T, Richter C, Katterfeld A, Will F (2019) Development of a standard calibration procedure for the DEM parameters of cohesionless bulk materials – part I: solving the problem of ambiguous parameter combinations. Powder Technol 343:803–812
Coetzee C (2020) Calibration of the discrete element method: strategies for spherical and non-spherical particles. Powder Technol 364:851–878
Wang X, Zhang S, Pan H, Zheng Z, Huang Y, Zhu R (2019) Effect of soil particle size on soil-subsoiler interactions using the discrete element method simulations. Biosyst Eng 182:138–150
Hang C, Gao X, Yuan M, Huang Y, Zhu R (2018) Discrete element simulations and experiments of soil disturbance as affected by the tine spacing of subsoiler. Biosyst Eng 168:73–82
Handling EFOM (1991) FEM 2.582: general properties of bulk materials and their symbolization (1991–11).
Ucgul M, Fielke JM, Saunders C (2014) Three-dimensional discrete element modelling of tillage: determination of a suitable contact model and parameters for a cohesionless soil. Biosyst Eng 121:105–117
Mohajeri MJ, Do HQ, Schott DL (2020) DEM calibration of cohesive material in the ring shear test by applying a genetic algorithm framework. Adv Powder Technol 31:1838–1850
Mohajeri MJ, van Rhee C, Schott DL (2021) Replicating cohesive and stress-history-dependent behavior of bulk solids: feasibility and definiteness in DEM calibration procedure. Adv Powder Technol 32:1532–1548
Sun J, Chen H, Wang Z, Ou Z, Yang Z, Liu Z, Duan J (2020) Study on plowing performance of EDEM low-resistance animal bionic device based on red soil. Soil Tillage Res 196:104336
Acknowledgements
The authors are grateful to the National Natural Science Foundation of China (No. 52005307, No.52130001) and Youth Innovation Team Plan (No. 2022KJ225) for the financial support of this work.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflicts of interest
The authors declare that they have no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Zhou, L., Lan, Y., Yu, J. et al. Validation and calibration of soil parameters based on EEPA contact model. Comp. Part. Mech. 10, 1295–1307 (2023). https://doi.org/10.1007/s40571-023-00559-0
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40571-023-00559-0