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Sustainability
Volume 14
Issue 22
10.3390/su142214768
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Article

Strength Estimation of Damaged Rock Considering Initial Damage Based on P-Wave Velocity Using Regression Analysis

by
Xiao Xu
1,
Chuanhua Xu
2,
Jianhua Hu
1,3,
Shaowei Ma
1,*,
Yue Li
2,
Lei Wen
4 and
Guanping Wen
1
1
School of Resources and Safety Engineering, Central South University, Changsha 410083, China
2
Sinosteel Maanshan General Institute of Mining Research, Co., Ltd., Maanshan 243000, China
3
Zijin School of Geology and Mining, Fuzhou University, Fuzhou 350108, China
4
School of Architectural Engineering, Chongqing Industry Polytechnic College, Chongqing 401120, China
*
Author to whom correspondence should be addressed.
Sustainability 2022, 14(22), 14768; https://doi.org/10.3390/su142214768
Submission received: 22 October 2022 / Revised: 3 November 2022 / Accepted: 7 November 2022 / Published: 9 November 2022
(This article belongs to the Special Issue Mine Disasters Control and Synergetic Mining: Challenges to Mine Sustainability)
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Abstract

High dispersion of rock mass strength causes significant difficulties in strength prediction. This study aims to investigate experimentally the strength prediction model for brittle damaged rock with multiscale initial damage based on P-wave velocity using regression analysis. Intact dolomitic limestone was collected from a deep metal mine in Southern China. Rock specimens with different initial damage degrees were prepared through the application of uniaxial compressive stress. Both intact rock and damaged rock specimens were tested for P-wave velocity and uniaxial compressive strength (UCS). The test results indicate that the method of prefabricating initial damage to the rock mass through uniaxial compressive stress is feasible. The UCS values of the damaged rock specimens were correlated with the square of the P-wave velocity (linearly positive) and the initial damage (linearly negative). The parameters of the new strength prediction model have a physical significance, and its results are within the upper and lower limits of the 95% confidence interval of the UCS. The strength prediction model considering multiscale initial damage based on P-wave velocity could reasonably predict the strengths of brittle rock masses.
Keywords: strength prediction; P-wave velocity; damaged rock; initial damage; uniaxial compression test strength prediction; P-wave velocity; damaged rock; initial damage; uniaxial compression test

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MDPI and ACS Style

Xu, X.; Xu, C.; Hu, J.; Ma, S.; Li, Y.; Wen, L.; Wen, G. Strength Estimation of Damaged Rock Considering Initial Damage Based on P-Wave Velocity Using Regression Analysis. Sustainability 2022, 14, 14768. https://doi.org/10.3390/su142214768

AMA Style

Xu X, Xu C, Hu J, Ma S, Li Y, Wen L, Wen G. Strength Estimation of Damaged Rock Considering Initial Damage Based on P-Wave Velocity Using Regression Analysis. Sustainability. 2022; 14(22):14768. https://doi.org/10.3390/su142214768

Chicago/Turabian Style

Xu, Xiao, Chuanhua Xu, Jianhua Hu, Shaowei Ma, Yue Li, Lei Wen, and Guanping Wen. 2022. "Strength Estimation of Damaged Rock Considering Initial Damage Based on P-Wave Velocity Using Regression Analysis" Sustainability 14, no. 22: 14768. https://doi.org/10.3390/su142214768

APA Style

Xu, X., Xu, C., Hu, J., Ma, S., Li, Y., Wen, L., & Wen, G. (2022). Strength Estimation of Damaged Rock Considering Initial Damage Based on P-Wave Velocity Using Regression Analysis. Sustainability, 14(22), 14768. https://doi.org/10.3390/su142214768

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