Importance of examining particle movements in modelling ballast bed via discrete element method

被引:16
|
作者
Fu, Longlong [1 ,2 ]
Zheng, Yuexiao [2 ]
Tian, Zhekan [2 ]
Huang, Shihao [3 ]
Zhou, Shunhua [1 ,2 ]
机构
[1] Tongji Univ, Key Lab Rd & Traff Engn, Minist Educ, Shanghai 201804, Peoples R China
[2] Tongji Univ, Shanghai Key Lab Rail Infrastruct Durabil & Syst, Shanghai, Peoples R China
[3] Univ South Carolina, Dept Civil & Environm Engn, Columbia, SC 29208 USA
基金
上海市自然科学基金; 中国国家自然科学基金;
关键词
Railway ballast; particle movements; damping coefficients; sensitivity analysis; 3d dem; RAILWAY BALLAST; IDENTIFICATION; MECHANISM; BEHAVIOR; TRACKS; SHAPE; LOAD;
D O I
10.1080/23248378.2021.1991849
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
The discrete element method is widely adopted to investigate the micro-mechanism of degradation and reinforcement of ballast tracks. Generally, numerical parameters of ballast particles are examined by macro characteristics obtained in field or indoor tests, while particle-scale responses are rarely examined due to the difficulties in practical measurement. In this study, we demonstrate the importance of examining particle movements in modelling ballast bed via discrete element method. A previous laboratory model test is repeated via Particle Flow Code, where 25 sets of damping coefficients are assigned. The results show that the variation of damping coefficients has more significant influence on particle movements than the macroscopic behaviours of ballast and ballast beds. According to the three-dimensional motion characteristics of ballast particles obtained using a SmartRock sensor, the appropriate local damping constant and critical contact damping ratio are suggested for typical loading frequencies.
引用
收藏
页码:547 / 561
页数:15
相关论文
共 50 条
  • [41] Study on the influence of seismic intensity on the mechanical properties of ballast bed based on discrete element method
    Chen, Xianmai
    Deng, Yunqiang
    Chen, Nan
    Pan, Yanping
    Li, Xinhai
    Peng, Liangkun
    Olabanji, Atolagbe Shakirudeen
    COMPUTATIONAL PARTICLE MECHANICS, 2024, 11 (02) : 675 - 687
  • [42] Study on the influence of seismic intensity on the mechanical properties of ballast bed based on discrete element method
    Xianmai Chen
    Yunqiang Deng
    Nan Chen
    Yanping Pan
    Xinhai Li
    Liangkun Peng
    Atolagbe Shakirudeen Olabanji
    Computational Particle Mechanics, 2024, 11 : 675 - 687
  • [43] Discrete element modelling of railway ballast under triaxial conditions
    Lu, Mingfei
    McDowell, Glenn R.
    GEOMECHANICS AND GEOENGINEERING-AN INTERNATIONAL JOURNAL, 2008, 3 (04): : 257 - 270
  • [44] Discrete Element Modelling of Fractal Behavior of Particle Size Distribution and Breakage of Ballast under Monotonic Loading
    Chen, Cheng
    Zhang, Xin
    Sun, Yifei
    Zhang, Lei
    Rui, Rui
    Wang, Zhide
    FRACTAL AND FRACTIONAL, 2022, 6 (07)
  • [45] Ballast bed resistance characteristics based on discrete-element modeling
    Zeng, Zhiping
    Song, Shanyi
    Wang, Weidong
    Yan, Haijian
    Wang, Guoshu
    Xiao, Bin
    ADVANCES IN MECHANICAL ENGINEERING, 2018, 10 (06):
  • [46] Powder compaction modelling via the discrete and finite element method
    Ransing, R.S.
    Gethin, D.T.
    Khoei, A.R.
    Mosbah, P.
    Lewis, R.W.
    Materials and Design, 2000, 21 (04): : 263 - 269
  • [47] Powder compaction modelling via the discrete and finite element method
    Ransing, RS
    Gethin, DT
    Khoei, AR
    Mosbah, P
    Lewis, RW
    MATERIALS & DESIGN, 2000, 21 (04) : 263 - 269
  • [48] Influence of Particle Packing, Size, and Gradation on Crushing Strength of Ballast Using Discrete Element Method
    Hussain, Md
    Hussaini, Syed Khaja Karimullah
    TRANSPORTATION INFRASTRUCTURE GEOTECHNOLOGY, 2025, 12 (01)
  • [49] A Coupled Discrete Element Modelling and Smoothed Particle Hydrodynamics Method and Applications
    Ou T.
    Liu J.
    Chen W.
    Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences, 2023, 50 (12): : 187 - 193
  • [50] Calibration method for discrete element modeling of ballast particles
    Aela, Peyman
    Zong, Lu
    Yin, Zhen-Yu
    Esmaeili, Morteza
    Jing, Guoqing
    COMPUTATIONAL PARTICLE MECHANICS, 2023, 10 (03) : 481 - 493