A rapid method for measuring the rock brittleness index: Rapid characterization of rock brittleness based on LIBS technology

被引:0
|
作者
Zhang, Qinghe [1 ,2 ]
Li, Weiguo [1 ]
Yuan, Liang [2 ]
Liang, Chao [3 ]
Pan, Honggui [3 ]
机构
[1] Anhui Univ Sci & Technol, Sch Civil Engn & Architecture, Huainan 232001, Peoples R China
[2] State Key Lab Safe Min Deep Coal Resources & Envir, Huainan 232000, Peoples R China
[3] China Railway 4 Engn Grp Co Ltd, Hefei 230000, Peoples R China
基金
中国国家自然科学基金;
关键词
Rockbursts; Brittleness index; Laser-induced breakdown spectrum; Element; Mineral; INDUCED BREAKDOWN SPECTROSCOPY; STRESS; MINERALOGY; MODEL;
D O I
10.1016/j.tust.2024.106143
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The brittle index is a crucial indicator in the assessment of rockbursts. The mineral brittle index (MBI) is widely utilized due to its simplicity and accessibility. However, the lengthy and inefficient mineral composition testing cycle presents a significant challenge. A novel approach using laser-induced breakdown spectroscopy (LIBS) to rapidly convert spectral elements into minerals and measure the rock brittleness index was introduced in this paper. The laser spectra of metamorphic sandstone and granite were measured by LIBS, and some rock elements were tested by X-ray fluorescence (XRF) to construct a spectral-elemental model. Furthermore, the mineral composition of the rocks was determined by X-ray diffraction (XRD). Eight major elements, Si, Al, K, Ca, Na, Fe, Mg, and Ti, were selected as independent variables. Element-mineral correlation analysis was performed using centered log-ratio transformation (CLR) processing. A random forest regression (RF-R) element-mineral transformation model was established for rapid conversion of spectral-element-mineral brittle index. Finally, mechanical testing of rock embrittlement in the DJ Tunnel was conducted to verify the efficacy of MBI in characterizing rock embrittlement in the DJ Tunnel. The results demonstrate that predicted values of mineral compositions are in good agreement with experimental values and that predicted values of brittleness indices are also in good agreement with experimental values. The rapid and effective application of LIBS in determining rock mineral composition and rock brittleness index has been realised, which is of great significance for further realising the rapid assessment of rock brittleness and rockburst prediction at engineering sites.
引用
收藏
页数:18
相关论文
共 50 条
  • [1] A characterization method of rock fracturing brittleness based on multiple linear regression
    Zhao, Wanchun, 1600, Books and Journals Private Ltd. (65):
  • [2] Rock Drilling Performance Evaluation by an Energy Dissipation Based Rock Brittleness Index
    H. Munoz
    A. Taheri
    E. K. Chanda
    Rock Mechanics and Rock Engineering, 2016, 49 : 3343 - 3355
  • [3] Rock Drilling Performance Evaluation by an Energy Dissipation Based Rock Brittleness Index
    Munoz, H.
    Taheri, A.
    Chanda, E. K.
    ROCK MECHANICS AND ROCK ENGINEERING, 2016, 49 (08) : 3343 - 3355
  • [4] Optimization of fracturing technology for unconventional dense oil reservoirs based on rock brittleness index
    Wu, Huimei
    Zhang, Nan
    Lou, Yishan
    Zhai, Xiaopeng
    Liu, Bin
    Li, Song
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [5] An Energy-Based Method to Determine Rock Brittleness by Considering Rock Damage
    Wang, Wei
    Wang, Yu
    Chai, Bo
    Du, Juan
    Xing, Linxiao
    Xia, Ziheng
    ROCK MECHANICS AND ROCK ENGINEERING, 2022, 55 (03) : 1585 - 1597
  • [6] Evaluation method of rock brittleness based on statistical constitutive relations for rock damage
    Li, Yuwei
    Jia, Dan
    Rui, Zhenhua
    Peng, Jiyong
    Fu, Chunkai
    Zhang, Jun
    JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2017, 153 : 123 - 132
  • [7] An Energy-Based Method to Determine Rock Brittleness by Considering Rock Damage
    Wei Wang
    Yu Wang
    Bo Chai
    Juan Du
    Linxiao Xing
    Ziheng Xia
    Rock Mechanics and Rock Engineering, 2022, 55 : 1585 - 1597
  • [8] Evaluation of Rock Brittleness Index under Dynamic Load
    Li, Diyuan
    Han, Minggang
    Zhu, Quanqi
    APPLIED SCIENCES-BASEL, 2023, 13 (08):
  • [9] A model to predict the performance of roadheaders based on the Rock Mass Brittleness Index
    Ebrahimabadi, A.
    Goshtasbi, K.
    Shahriar, K.
    Seifabad, M. Cheraghi
    JOURNAL OF THE SOUTHERN AFRICAN INSTITUTE OF MINING AND METALLURGY, 2011, 111 (05) : 357 - 364
  • [10] Rock Brittleness Evaluation Index Based on Ultimate Elastic Strain Energy
    Zhang, Xiaowu
    Xu, Jinhai
    Shaikh, Faiz
    Sun, Lei
    Cao, Yue
    PROCESSES, 2022, 10 (07)