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author:

Xu, X. (Xu, X..) [1] | Xu, C. (Xu, C..) [2] | Hu, J. (Hu, J..) [3] | Ma, S. (Ma, S..) [4] | Li, Y. (Li, Y..) [5] | Wen, L. (Wen, L..) [6] | Wen, G. (Wen, G..) [7]

Indexed by:

Scopus

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. © 2022 by the authors.

Keyword:

damaged rock initial damage P-wave velocity strength prediction uniaxial compression test

Community:

  • [ 1 ] [Xu, X.]School of Resources and Safety Engineering, Central South University, Changsha, 410083, China
  • [ 2 ] [Xu, C.]General Institute of Mining Research, Co., Ltd, Maanshan, 243000, China
  • [ 3 ] [Hu, J.]School of Resources and Safety Engineering, Central South University, Changsha, 410083, China
  • [ 4 ] [Hu, J.]Zijin School of Geology and Mining, Fuzhou University, Fuzhou, 350108, China
  • [ 5 ] [Ma, S.]School of Resources and Safety Engineering, Central South University, Changsha, 410083, China
  • [ 6 ] [Li, Y.]General Institute of Mining Research, Co., Ltd, Maanshan, 243000, China
  • [ 7 ] [Wen, L.]School of Architectural Engineering, Chongqing Industry Polytechnic College, Chongqing, 401120, China
  • [ 8 ] [Wen, G.]School of Resources and Safety Engineering, Central South University, Changsha, 410083, China

Reprint 's Address:

  • [Ma, S.]School of Resources and Safety Engineering, China

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Source :

Sustainability (Switzerland)

ISSN: 2071-1050

Year: 2022

Issue: 22

Volume: 14

2 . 5 9 2

JCR@2018

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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