New Approach for Predicting Particle Breakage of Granular Material Using the Grey System Theory

被引:19
|
作者
Yu, Qianmi [1 ]
Liu, Jiankun [2 ]
Patil, Ujwalkumar D. [3 ]
Puppala, Anand J. [4 ]
机构
[1] Beijing Jiaotong Univ, Sch Civil Engn, Dept Highway & Railway Engn, Beijing 100044, Peoples R China
[2] Beijing Jiaotong Univ, Sch Civil Engn, Dept Geotech Engn, Beijing 100044, Peoples R China
[3] Univ Guam, Sch Engn, Mangilao, GU 96923 USA
[4] Univ Texas Arlington, Dept Civil Engn, Arlington, TX 76019 USA
基金
中国国家自然科学基金;
关键词
Particle breakage; One-dimensional compaction test; Grey system theory; Relative breakage; Fractal dimension; COMPRESSION; SAND; SOIL; BEHAVIOR; MEDIA; MODEL; SHAPE;
D O I
10.1061/(ASCE)MT.1943-5533.0002395
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper presents a quantitative analysis and prediction of the process of particle breakage, from the initial state of one particle size fraction (PSF) to the ultimate state of stable grading. The effect of particle shape on the research results was analyzed. The one-dimensional confined compaction test was used to study the particle breakage under different compaction scenarios, with W indicating work done during one compaction and N indicating multiple compactions. The entire process was analyzed using the prediction model of the grey system theory. The results from the analysis demonstrate that the prediction model was superior because it simulated the breakage process, which could not be generated by the limited W and N. The demarcation lines, where the mass percentage of newly generated PSFs started to decline, were calculated and verified. The process of change in fractal dimensions and relative breakage with W was divided into four stages: intense breakage, fast breakage, slow breakage, and creep breakage. Each stage was analyzed to determine the change in PSFs that supported the impact load. The present studies provide insight into the micromechanism of the effect of impact loads on particle crushing and the breakage priority of different PSFs before it becomes steady.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Compression responses and particle breakage of calcareous granular material in reclaimed islands
    Shen, Jianhua
    Chen, Xiang
    Wang, Xing
    Wang, Xinzhi
    Qin, Yue
    Wu, Hao
    POWDER TECHNOLOGY, 2023, 418
  • [2] Simulation of force chains and particle breakage of granular material by numerical manifold method
    Kang, Ge
    Ning, You-jun
    Liu, Rui
    Chen, Peng-wan
    Pang, Si-ping
    POWDER TECHNOLOGY, 2021, 390 : 464 - 472
  • [3] Investigations of the effects of particle morphology on granular material behaviors using a multi-sphere approach
    Kodicherla, Shiva Prashanth Kumar
    Gong, Guobin
    Fan, Lei
    Wilkinson, Stephen
    Moy, Charles K. S.
    JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING, 2020, 12 (06) : 1301 - 1312
  • [4] A New Approach to Performance Analysis of Disinfection Using Grey System Theory
    Li, Rongguang
    He, Wenjie
    Han, Hongda
    Wu, Wei
    Meng, Xianxian
    2012 INTERNATIONAL CONFERENCE ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING (ICMPBE2012), 2012, 33 : 162 - 166
  • [5] Theory of shear strength of granular materials based on particle breakage
    Xu Y.-F.
    2018, Chinese Society of Civil Engineering (40): : 1171 - 1179
  • [6] An extended hypoplastic constitutive model considering particle breakage for granular material
    Qian, Haoyong
    Wu, Wei
    Xu, Chengshun
    Liao, Dong
    Du, Xiuli
    COMPUTERS AND GEOTECHNICS, 2023, 159
  • [7] Predicting changes in Bitcoin price using grey system theory
    Jalali, Mahboubeh Faghih Mohammadi
    Heidari, Hanif
    FINANCIAL INNOVATION, 2020, 6 (01)
  • [8] Detailed particle breakage of crushable granular materials under cyclic shearing conditions using dyed gypsum technique
    Liu, Yu-Xuan
    Shen, Chao-Min
    Liu, Si-Hong
    Liu, Yuan-Sheng
    Liu, Chen-Geng
    TRANSPORTATION GEOTECHNICS, 2024, 49
  • [9] Characteristics of particle breakage and constitutive model of coarse granular material incorporating gradation evolution
    Zhao, Feixiang
    Chi, Shichun
    GEOTECHNIQUE, 2022, 73 (11): : 937 - 950
  • [10] Predicting changes in Bitcoin price using grey system theory
    Mahboubeh Faghih Mohammadi Jalali
    Hanif Heidari
    Financial Innovation, 6