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
  • [31] A New Rock Brittleness Index Based on the Characteristics of Complete Stress-Strain Behaviors
    Kuang, Zhihao
    Qiu, Shili
    Li, Shaojun
    Du, Shihui
    Huang, Yong
    Chen, Xingqiang
    ROCK MECHANICS AND ROCK ENGINEERING, 2021, 54 (03) : 1109 - 1128
  • [32] Fracture Energy-Based Brittleness Index Development and Brittleness Quantification by Pre-peak Strength Parameters in Rock Uniaxial Compression
    H. Munoz
    A. Taheri
    E. K. Chanda
    Rock Mechanics and Rock Engineering, 2016, 49 : 4587 - 4606
  • [33] Artificial Intelligence-Based Model of Mineralogical Brittleness Index Based on Rock Elemental Compositions
    Hassan, Amjed
    Chan, Septriandi
    Mahmoud, Mohamed
    Aljawad, Murtada Saleh
    Humphrey, John
    Abdulraheem, Abdulazeez
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2022, 47 (09) : 11745 - 11761
  • [34] Artificial Intelligence-Based Model of Mineralogical Brittleness Index Based on Rock Elemental Compositions
    Amjed Hassan
    Septriandi Chan
    Mohamed Mahmoud
    Murtada Saleh Aljawad
    John Humphrey
    Abdulazeez Abdulraheem
    Arabian Journal for Science and Engineering, 2022, 47 : 11745 - 11761
  • [35] A new rock brittleness index on the basis of punch penetration test data
    Ghadernejad, Saleh
    Nejati, Hamid Reza
    Yagiz, Saffet
    GEOMECHANICS AND ENGINEERING, 2020, 21 (04) : 391 - 399
  • [36] TOC and brittleness prediction based on shale rock physical analysis
    Li Y.
    Cheng F.
    Lei D.
    Xia C.
    Hu C.
    Ke P.
    Shiyou Diqiu Wuli Kantan/Oil Geophysical Prospecting, 2018, 53 : 204 - 210
  • [37] A brittleness concept based on indentation tests for assessment of rock cuttability
    Copur, H
    Tuncdemir, H
    Balci, C
    Ozturk, CA
    MINE PLANNING AND EQUIPMENT SELECTION 2001, 2001, : 783 - 788
  • [38] Investigation on the influence mechanism of rock brittleness on rock fragmentation and cutting performance by discrete element method
    Li Xuefeng
    Wang Shibo
    Ge Shirong
    Malekian, Reza
    Li Zhixiong
    MEASUREMENT, 2018, 113 : 120 - 130
  • [39] Correction to: A New Rock Brittleness Index Based on the Peak Elastic Strain Energy Consumption Ratio
    Fengqiang Gong
    Yunliang Wang
    Rock Mechanics and Rock Engineering, 2022, 55 : 1583 - 1584
  • [40] Brittleness evaluation of coal rock based on indentation method and the significance of coal reservoir stimulation
    Chen L.
    Wang S.
    Zhang D.
    Meitan Xuebao/Journal of the China Coal Society, 2020, 45 : 955 - 964