Abstract
In this study, a numerical Discrete-Element-Modeling (DEM) model was created to analyze a displacement field to identify the shear behavior in a granular media. The resultant shear stress/normal stress ratio was compared to findings reported in the available literature to validate the DEM model. The simulation model's displacement field enabled analysis of the mechanical properties of the granular medium. Exploring the mechanical behavior of granular media under various boundary conditions and/or loadings may be helpful with the DEM model.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Lommen, S., Schott, D., Lodewijks, G.: DEM speedup: Stiffness effects on behavior of bulk material. Particuology 12, 107–112 (2014). https://doi.org/10.1016/j.partic.2013.03.006
Le, T.-T.: Investigation of force transmission, critical breakage force and relationship between micro-macroscopic behaviors of agricultural granular material in a uniaxial compaction test using discrete element method. Part. Sci. Technol. 0, 1–18 (2021). https://doi.org/10.1080/02726351.2021.1983904
Fu, H., Jin, C., Yu, J.: The DEM-based digital design platform for agricultural machinery—AgriDEM. In: Li, X., Feng, Y., Mustoe, G. (eds.) DEM 2016. SPP, vol. 188, pp. 1253–1263. Springer, Singapore (2017). https://doi.org/10.1007/978-981-10-1926-5_129
Tran, V.T., Donzé, F.-V., Marin, P.: A discrete element model of concrete under high triaxial loading. Cem. Concr. Compos. 33, 936–948 (2011). https://doi.org/10.1016/j.cemconcomp.2011.01.003
Du, T.V., Saeed, K., Minh, T.A., Jean-Michel, P., François, C., Jean-Noël, R.: Basic mechanical properties of wet granular materials: a DEM study. J. Eng. Mech. 143, C4016001 (2017). https://doi.org/10.1061/(ASCE)EM.1943-7889.0001043
Benvenuti, L., Kloss, C., Pirker, S.: Identification of DEM simulation parameters by artificial neural networks and bulk experiments. Powder Technol. 291, 456–465 (2016)
Nguyen, T.X., et al.: Characterization of soybeans and calibration of their DEM input parameters. Part. Sci. Technol. (2020). https://doi.org/10.1080/02726351.2020.1775739
Raji, A.O., Favier, J.F.: Model for the deformation in agricultural and food particulate materials under bulk compressive loading using discrete element method. I: Theory, model development and validation. J. Food Eng. 64, 359–371 (2004). https://doi.org/10.1016/j.jfoodeng.2003.11.004
Ghodki, B.M., Patel, M., Namdeo, R., Carpenter, G.: Calibration of discrete element model parameters: soybeans. Comput. Particle Mech. 6(1), 3 (2018). https://doi.org/10.1007/s40571-018-0194-7
Schellart, W.P.: Shear test results for cohesion and friction coefficients for different granular materials: scaling implications for their usage in analogue modelling. Tectonophysics 324, 1–16 (2000). https://doi.org/10.1016/S0040-1951(00)00111-6
Zhou, Y., Wang, H., Zhou, B., Li, J.: DEM-aided direct shear testing of granular sands incorporating realistic particle shape. Granul. Matter 20(3), 1–12 (2018). https://doi.org/10.1007/s10035-018-0828-8
Acknowledgements
This research is funded by Phenikaa University.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Le, TT. et al. (2023). Discrete Element Modeling Based Determination of Shear Behavior in a Granular Medium Through Displacement Field. In: Nguyen, D.C., Vu, N.P., Long, B.T., Puta, H., Sattler, KU. (eds) Advances in Engineering Research and Application. ICERA 2022. Lecture Notes in Networks and Systems, vol 602. Springer, Cham. https://doi.org/10.1007/978-3-031-22200-9_45
Download citation
DOI: https://doi.org/10.1007/978-3-031-22200-9_45
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-22199-6
Online ISBN: 978-3-031-22200-9
eBook Packages: EngineeringEngineering (R0)