A mineral-strength conversion model based on LIBS technology and rapid batch testing and application of uniaxial compressive strength
Due to the complexity and abruptness of deep engineering disasters, the mechanical parameters of rocks, particularly uniaxial compressive strength (UCS), play a critical role in stability analysis, risk assessment, support parameter optimization, and intelligent construction. Achieving rapid quantit...
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| Format: | Article |
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Editorial Office of Journal of China Coal Society
2025-04-01
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| Series: | Meitan xuebao |
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| Online Access: | http://www.mtxb.com.cn/article/doi/10.13225/j.cnki.jccs.XH24.1480 |
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| author | Qinghe ZHANG Xiaorui WANG Chuanbing WANG Weiguo LI Fengqiang GONG Xinsheng ZHANG Jingguo LI |
| author_facet | Qinghe ZHANG Xiaorui WANG Chuanbing WANG Weiguo LI Fengqiang GONG Xinsheng ZHANG Jingguo LI |
| author_sort | Qinghe ZHANG |
| collection | DOAJ |
| description | Due to the complexity and abruptness of deep engineering disasters, the mechanical parameters of rocks, particularly uniaxial compressive strength (UCS), play a critical role in stability analysis, risk assessment, support parameter optimization, and intelligent construction. Achieving rapid quantitative characterization of rock strength is therefore essential. A novel approach for the rapid quantitative characterization of rock UCS from a mineralogical perspective is proposed, utilizing laser-induced breakdown spectroscopy (LIBS) technology, thereby introducing a mineral-to-strength conversion methodology. A spectral database for granite and metamorphic sandstone is constructed using LIBS, and the elemental and mineral datasets of the rocks are acquired by X-ray fluorescence (XRF) and X-ray diffraction (XRD) tests, respectively. The mass fraction of mineral components is analyzed via the support vector regression (SVR) algorithm. In the end, a mineral-strength conversion model is established to calculate the UCS from the predicted values of mineral component concentrations, and its rationality and scientific validity are validated by the standard mechanical tests. Results indicate that the coefficient of determination R2 of each element in the spectral-elemental prediction model is between 0.96 and 0.99, and the model can effectively obtain the content of each element; the elemental-mineral prediction model has the best prediction effect of quartz and aluminum phosphate, followed by feldspathic and mica mineral groups, and good prediction effect of chlorite and turbidite zeolite as well. The multiple linear regression model (R2 = 0.850 2) is more suitable than the least squares method (R2 = 0.719 6) for the nonlinear relationship between the predicted value of mineral mass fraction and uniaxial compressive strength, and the introduction of the correction coefficients can be more effective in realizing the accurate conversion of minerals-strengths. Finally, the mineral-strength conversion model is used to conduct rapid batch testing of the UCS of rocks in different mileage of working faces at the project site, and combined with the Kriging interpolation technique and Matlab technology to realize the 3D continuous visualization of the UCS at the project site. |
| format | Article |
| id | doaj-art-c09a4d3418c64d20bf8590868bda9a44 |
| institution | DOAJ |
| issn | 0253-9993 |
| language | zho |
| publishDate | 2025-04-01 |
| publisher | Editorial Office of Journal of China Coal Society |
| record_format | Article |
| series | Meitan xuebao |
| spelling | doaj-art-c09a4d3418c64d20bf8590868bda9a442025-08-20T03:12:10ZzhoEditorial Office of Journal of China Coal SocietyMeitan xuebao0253-99932025-04-015042091210710.13225/j.cnki.jccs.XH24.1480XH24-1480A mineral-strength conversion model based on LIBS technology and rapid batch testing and application of uniaxial compressive strengthQinghe ZHANG0Xiaorui WANG1Chuanbing WANG2Weiguo LI3Fengqiang GONG4Xinsheng ZHANG5Jingguo LI6National Key Laboratory of Safe Mining of Deep Coal and Environmental Protection, Anhui University of Science and Technology, Huainan 232001, ChinaNational Key Laboratory of Safe Mining of Deep Coal and Environmental Protection, Anhui University of Science and Technology, Huainan 232001, ChinaNational Key Laboratory of Safe Mining of Deep Coal and Environmental Protection, Anhui University of Science and Technology, Huainan 232001, ChinaSchool of Civil Engineering and Architecture, Anhui University of Science and Technology, Huainan 232001, ChinaSchool of Civil Engineering, Southeast University, Nanjing 211189, ChinaChina Railway No. 4 Engineering Group Co., Ltd., Hefei 230000, ChinaChina Railway No. 4 Engineering Group Co., Ltd., Hefei 230000, ChinaDue to the complexity and abruptness of deep engineering disasters, the mechanical parameters of rocks, particularly uniaxial compressive strength (UCS), play a critical role in stability analysis, risk assessment, support parameter optimization, and intelligent construction. Achieving rapid quantitative characterization of rock strength is therefore essential. A novel approach for the rapid quantitative characterization of rock UCS from a mineralogical perspective is proposed, utilizing laser-induced breakdown spectroscopy (LIBS) technology, thereby introducing a mineral-to-strength conversion methodology. A spectral database for granite and metamorphic sandstone is constructed using LIBS, and the elemental and mineral datasets of the rocks are acquired by X-ray fluorescence (XRF) and X-ray diffraction (XRD) tests, respectively. The mass fraction of mineral components is analyzed via the support vector regression (SVR) algorithm. In the end, a mineral-strength conversion model is established to calculate the UCS from the predicted values of mineral component concentrations, and its rationality and scientific validity are validated by the standard mechanical tests. Results indicate that the coefficient of determination R2 of each element in the spectral-elemental prediction model is between 0.96 and 0.99, and the model can effectively obtain the content of each element; the elemental-mineral prediction model has the best prediction effect of quartz and aluminum phosphate, followed by feldspathic and mica mineral groups, and good prediction effect of chlorite and turbidite zeolite as well. The multiple linear regression model (R2 = 0.850 2) is more suitable than the least squares method (R2 = 0.719 6) for the nonlinear relationship between the predicted value of mineral mass fraction and uniaxial compressive strength, and the introduction of the correction coefficients can be more effective in realizing the accurate conversion of minerals-strengths. Finally, the mineral-strength conversion model is used to conduct rapid batch testing of the UCS of rocks in different mileage of working faces at the project site, and combined with the Kriging interpolation technique and Matlab technology to realize the 3D continuous visualization of the UCS at the project site.http://www.mtxb.com.cn/article/doi/10.13225/j.cnki.jccs.XH24.1480laser-induced breakdown spectroscopymineral compositionquantitative analysisrapid determinationspatial visualization |
| spellingShingle | Qinghe ZHANG Xiaorui WANG Chuanbing WANG Weiguo LI Fengqiang GONG Xinsheng ZHANG Jingguo LI A mineral-strength conversion model based on LIBS technology and rapid batch testing and application of uniaxial compressive strength Meitan xuebao laser-induced breakdown spectroscopy mineral composition quantitative analysis rapid determination spatial visualization |
| title | A mineral-strength conversion model based on LIBS technology and rapid batch testing and application of uniaxial compressive strength |
| title_full | A mineral-strength conversion model based on LIBS technology and rapid batch testing and application of uniaxial compressive strength |
| title_fullStr | A mineral-strength conversion model based on LIBS technology and rapid batch testing and application of uniaxial compressive strength |
| title_full_unstemmed | A mineral-strength conversion model based on LIBS technology and rapid batch testing and application of uniaxial compressive strength |
| title_short | A mineral-strength conversion model based on LIBS technology and rapid batch testing and application of uniaxial compressive strength |
| title_sort | mineral strength conversion model based on libs technology and rapid batch testing and application of uniaxial compressive strength |
| topic | laser-induced breakdown spectroscopy mineral composition quantitative analysis rapid determination spatial visualization |
| url | http://www.mtxb.com.cn/article/doi/10.13225/j.cnki.jccs.XH24.1480 |
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