TY - JOUR
T1 - Calibration method for discrete element modeling of ballast particles
AU - Aela, Peyman
AU - Zong, Lu
AU - Yin, Zhen Yu
AU - Esmaeili, Morteza
AU - Jing, Guoqing
N1 - Funding Information:
This study is supported by the China Academy of Railway Science funding (2020YJ081) and the GRF project (Grant No. 15220221) from the Research Grants Council (RGC) of Hong Kong.
Publisher Copyright:
© 2022, The Author(s) under exclusive licence to OWZ.
PY - 2022
Y1 - 2022
N2 - The discrete element method (DEM) is widely used for the simulation of ballast behavior under static and dynamic loading conditions. Due to the irregular shape of ballast particles, the simultaneous influence of multiple parameters (i.e., static and rolling friction coefficients, Young's modulus, Poisson's ratio, and restitution coefficient) should be considered when calibrating DEM input parameters for ballast particles, which poses a challenge. To reduce the influence of shape factors on the bulk behavior of ballast samples, a series of clumps for describing the shape of particles comprised of 17–24 balls are first created and generated. In the following, an efficient calibration method is proposed with four different tests, including the hollow cylinder test, confined compression test, direct shear test, and ballast box test. The order of the implemented tests is important due to the effect of the variation of friction coefficients on the results of all tests. Since the angle of the repose test is insignificantly influenced by contact and damping parameters due to the lack of external force on the ballast sample, firstly, the calibration of particle friction coefficients is performed by several repose angle tests. Thereafter, the direct shear test is used to calibrate particle Young's modulus and Poisson's ratio. Finally, the restitution coefficient of particles is calibrated by DEM modeling of ballast box tests under cyclic loading. The proposed method would be helpful for the calibration of ballast particle properties which is a necessary stage before the simulation of any experiments.
AB - The discrete element method (DEM) is widely used for the simulation of ballast behavior under static and dynamic loading conditions. Due to the irregular shape of ballast particles, the simultaneous influence of multiple parameters (i.e., static and rolling friction coefficients, Young's modulus, Poisson's ratio, and restitution coefficient) should be considered when calibrating DEM input parameters for ballast particles, which poses a challenge. To reduce the influence of shape factors on the bulk behavior of ballast samples, a series of clumps for describing the shape of particles comprised of 17–24 balls are first created and generated. In the following, an efficient calibration method is proposed with four different tests, including the hollow cylinder test, confined compression test, direct shear test, and ballast box test. The order of the implemented tests is important due to the effect of the variation of friction coefficients on the results of all tests. Since the angle of the repose test is insignificantly influenced by contact and damping parameters due to the lack of external force on the ballast sample, firstly, the calibration of particle friction coefficients is performed by several repose angle tests. Thereafter, the direct shear test is used to calibrate particle Young's modulus and Poisson's ratio. Finally, the restitution coefficient of particles is calibrated by DEM modeling of ballast box tests under cyclic loading. The proposed method would be helpful for the calibration of ballast particle properties which is a necessary stage before the simulation of any experiments.
KW - Calibration
KW - DEM
KW - Friction coefficients
KW - Poisson's ratio
KW - Restitution coefficient
KW - Young's modulus
UR - http://www.scopus.com/inward/record.url?scp=85137037421&partnerID=8YFLogxK
U2 - 10.1007/s40571-022-00507-4
DO - 10.1007/s40571-022-00507-4
M3 - Journal article
AN - SCOPUS:85137037421
SN - 2196-4378
JO - Computational Particle Mechanics
JF - Computational Particle Mechanics
ER -