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

Author

Listed:
  • Xiao Xu

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Chuanhua Xu

    (Sinosteel Maanshan General Institute of Mining Research, Co., Ltd., Maanshan 243000, China)

  • Jianhua Hu

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China
    Zijin School of Geology and Mining, Fuzhou University, Fuzhou 350108, China)

  • Shaowei Ma

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Yue Li

    (Sinosteel Maanshan General Institute of Mining Research, Co., Ltd., Maanshan 243000, China)

  • Lei Wen

    (School of Architectural Engineering, Chongqing Industry Polytechnic College, Chongqing 401120, China)

  • Guanping Wen

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

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.

Suggested Citation

  • Xiao Xu & Chuanhua Xu & Jianhua Hu & Shaowei Ma & Yue Li & Lei Wen & Guanping Wen, 2022. "Strength Estimation of Damaged Rock Considering Initial Damage Based on P-Wave Velocity Using Regression Analysis," Sustainability, MDPI, vol. 14(22), pages 1-15, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:14768-:d:968111
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    References listed on IDEAS

    as
    1. Bin Liu & Haomin Sang & Zhiqiang Wang & Yongshui Kang, 2020. "Experimental Study on the Mechanical Properties of Rock Fracture after Grouting Reinforcement," Energies, MDPI, vol. 13(18), pages 1-12, September.
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