Analysis of particle migration and agglomeration in paste mixing based on discrete element method

被引:11
|
作者
Li, Xue [1 ]
Li, Cuiping [1 ]
Ruan, Zhuen [1 ,2 ,3 ]
Yan, Bingheng [1 ,3 ]
Hou, Hezi [1 ,3 ]
Chen, Long [1 ,3 ]
机构
[1] Univ Sci & Technol Beijing, Sch Civil & Resource Engn, Beijing 100083, Peoples R China
[2] Univ Sci & Technol Beijing, Shunde Innovat Sch, Foshan 528399, Peoples R China
[3] Univ Sci & Technol Beijing, Key Lab Minist Educ China High Efficient Min & Saf, Beijing 100083, Peoples R China
基金
中国国家自然科学基金;
关键词
Discrete element method; Parameter calibration; Rheology; Mixing process; Cement paste backfill; FRESH CONCRETE; RHEOLOGICAL BEHAVIOR; YIELD-STRESS; PARAMETERS; SIMULATION; FLOW; CALIBRATION; CONTACT; SLUMP;
D O I
10.1016/j.conbuildmat.2022.129007
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Mixing plays an important role in paste filling technology, but there exists poor flowability of paste and low strength of cement paste backfill in production, which is due to the fact that the material is not evenly dispersed in the mixing process. In this paper, the flow behavior of paste was simulated by the discrete element method (DEM) during mixing process, and the parameters of the particle contact model were calibrated by rheological tests and slump tests. It can be seen that there was a good correlation between the flow behavior and the simulation. The surface energy was set to 4.8 J/m(3), which could reflect the interparticle force. It was found that the particle agglomeration affected the particle motion, while the van der Waals and electrostatic forces influenced the particle interactions under shearing. The average coordination number of particles showed an increasing trend at t = 45 s, as did the contact force between particles. This study provides new insight into the mechanism of mesostructure evolution of the paste under strong shearing and lays the foundation for quantifying the effect of inter-particle mechanical interaction on the fluidity of the paste.
引用
收藏
页数:11
相关论文
共 50 条
  • [11] Particle upscaling: Calibration and validation of the discrete element method
    Coetzee, C. J.
    POWDER TECHNOLOGY, 2019, 344 : 487 - 503
  • [12] Numerical simulation of particle consolidation under compression and shear based on the Discrete Element method
    Qian, Yunzhou
    Usher, Shane P.
    Scales, Peter J.
    Stickland, Anthony D.
    Alexiadis, Alessio
    ADVANCED POWDER TECHNOLOGY, 2024, 35 (12)
  • [13] Calibration of the contact parameters for soybean bonded particle model based on discrete element method
    Han, Dandan
    Wang, Qing
    Tang, Chao
    Li, Wei
    Xu, You
    JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2025, 39 (03) : 1279 - 1287
  • [14] Investigating agglomeration behavior of recycled asphalt mixtures in mixing stage using discrete element method
    Liu, Quan
    Liu, Jiangyu
    Wu, Jiantao
    Jiao, Yan
    Fang, Ruiyu
    Zhu, Jinlong
    CONSTRUCTION AND BUILDING MATERIALS, 2024, 440
  • [15] Soil Particle Modeling and Parameter Calibration Based on Discrete Element Method
    Yan, Dongxu
    Yu, Jianqun
    Wang, Yang
    Zhou, Long
    Tian, Ye
    Zhang, Na
    AGRICULTURE-BASEL, 2022, 12 (09):
  • [16] Determination and parameters calibration of the soybean-bonded particle model based on discrete element method
    Han, Dan-Dan
    Wang, Qing
    Wang, Yun-Xia
    Li, Wei
    Tang, Chao
    Lv, Xiao-Rong
    COMPUTATIONAL PARTICLE MECHANICS, 2025, 12 (01) : 231 - 244
  • [17] Numerical particle-based analysis of the effects responsible for acoustic particle agglomeration
    Markauskas, D.
    Kacianauskas, R.
    Maknickas, A.
    ADVANCED POWDER TECHNOLOGY, 2015, 26 (03) : 698 - 704
  • [18] Analysis and Optimal Placement of Particle Dampers Based on Discrete Element Simulation
    Li, Shilong
    Tang, Jiong
    INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2015, VOL 8, 2016,
  • [19] Dispersion and migration of agricultural particles in a variable-amplitude screen box based on the discrete element method
    Ma, Zheng
    Li, Yaoming
    Xu, Lizhang
    Chen, Jin
    Zhao, Zhan
    Tang, Zhong
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2017, 142 : 173 - 180
  • [20] Modeling Method of Corn Kernel Based on Discrete Element Method and Its Experimental Study
    Zhang, Jie
    Jiang, Xinming
    Yu, Yajun
    AGRICULTURE-BASEL, 2024, 14 (12):