Skip to main content
Log in

Analysis and Application of Surrounding Rock Mechanical Parameters of Jointed Rock Tunnel Based on Digital Photography

  • Original Paper
  • Published:
Geotechnical and Geological Engineering Aims and scope Submit manuscript

Abstract

The strength, deformation characteristics and failure mechanism of tunnel surrounding rock are affected by the rock mass discontinuity. In order to explore the influence of the existence of rock mass discontinuity on the mechanical parameters and the instability mechanism of surrounding rock mass, the 3D digital photogrammetry system is used to measure the rock mass of Guangshan No. 1 tunnel to obtain the geometric information of discontinuities and its probability distribution model. Based on the information of rock mass discontinuity obtained by digital photography technology, the volumetric joint count (Jv) and joint roughness coefficient (JRC) are introduced to quantitatively study the geological strength index (GSI), and Hoek–Brown strength criterion is used to analyze the mechanical parameters of tunnel rock mass. According to the strength parameters of tunnel rock mass, the numerical simulation of excavation stability of the tunnel is carried out. The research results show that 3D digital photography can accurately locate the joints exposed by rock excavation in tunnel site, and the quantitative GSI method can accurately determine the rock strength parameters in Hoek–Brown strength criterion, which is conducive to the accurate simulation analysis of tunnel surrounding rock stability. The research realizes the digital identification of information of jointed rock mass, quantitative analysis of rock mass mechanical parameters and numerical simulation of tunnel stability, which provides a fast and practical method for stability analysis of tunnel with joint development.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15

Similar content being viewed by others

Data Availability

The data used to support the findings of this study are included within the article.

References

  • Bertuzzi R, Douglas K, Mostyn G (2016) Comparison of quantified and chart GSI for four rock masses. Eng Geol 202:24–35

    Article  Google Scholar 

  • Fathipour-Azar H (2021) Data-driven estimation of joint roughness coefficient. J Rock Mech Geotech Eng 13(6):1428–1437

    Article  Google Scholar 

  • García-Luna R, Senent S, Jurado-Pia R, Jimenez R (2019) Structure from Motion photogrammetry to characterize underground rock masses: experiences from two real tunnels. Tunn Undergr Space Technol 83:262–273

    Article  Google Scholar 

  • Hoek E, Brown ET (1997) Practical estimates of rock mass strength. Int J Rock Mech Min Sci 34(8):1165–1186

    Article  Google Scholar 

  • Hong K, Han E, Kang K (2017) Determination of geological strength index of jointed rock mass based on image processing. J Rock Mech Geotech Eng 9(4):702–708

    Article  Google Scholar 

  • Hou D, Yang X (2018) Physical modeling of displacement and failure monitoring of underground roadway in horizontal strata. Adv Civ Eng 9:1–11

    Google Scholar 

  • Hou DG, Fu X, Lu CM (2021a) Research on failure process and precursor information of surrounding rock of deep layered roadway based on digital image correlation method. Geotech Geol Eng 39:4817–4831

    Article  Google Scholar 

  • Hou DG, Zheng XY, Xu F (2021b) Study on monitoring technology of surrounding rock in deep layered roadway based on constant resistance and large deformation bolt. Geotech Geol Eng 39:3903–3916

    Article  Google Scholar 

  • Hu GJ, Yang TH, Shi WH, Yu QL, Liu HL, Wang PT, Wang SH (2014) Digital recognition and key block identification of rock mass structure in Anjialing Coal Mine. J China Coal Soc 39(12):2412–2417

    Google Scholar 

  • Kang K, Fomenko I, Nikolskaya OV, Wang J (2020) Probabilistic assessment of rock slope stability in open pit mine chaarat using the generalized Hoek–Brown criterion. J Min Sci 56(5):732–740

    Article  Google Scholar 

  • Karrech A, Dong X, Elchalakani M, Basarir H, Shahin MA, Regenauer-lieb K (2022) Limit analysis for the seismic stability of three-dimensional rock slopes using the generalized Hoek–Brown criterion. Int J Min Sci Technol 32(2):237–245

    Article  Google Scholar 

  • Keshavarz A, Kumar J (2018) Bearing capacity of foundations on rock mass using the method of characteristics. Int J Numer Anal Meth Geomech 42(3):542–557

    Article  Google Scholar 

  • Lang ZOU (2013) Estimation of mountain highway tunnel surrounding rock mechanics. Highw Eng 38(2):170–173

    Google Scholar 

  • Li S, Liu H, Li L, Shi S, Hu J (2017) A quantitative method for rock structure at working faces of tunnel based on digital images and its application. Chin J Rock Mech Eng 36(1):1–9

    Google Scholar 

  • Li S, Liu H, Li L, Shi S, Sun S (2018) State and trends of dangerous rock prevention and control during tunnel construction. China J Highw Transp 31(10):5–22

    Google Scholar 

  • Li H, Guo T, Nan Y, Han B (2021) A simplified three-dimensional extension of Hoek–Brown strength criterion. J Rock Mech Geotech Eng 13(3):568–578

    Article  Google Scholar 

  • Lina GE, Fu YI, Tao WANG (2020) Structural plane information characterization and application based on digital photogrammetry. Chinese J Comput Mech 37(5):103–109

    Google Scholar 

  • Liu L, Wang Y, Wang J, Wang Z (2015) Fluid-driven fractures in granular materials. Bull Eng Geol Env 74:621–636

    Article  Google Scholar 

  • Liu X, Han G, Wang E, Wang S, Nawnit K (2018) “Multiscale hierarchical analysis of rock mass and prediction of its mechanical and hydraulic properties.” J Rock Mech Geotech Eng 10(4):694–702

    Article  Google Scholar 

  • Marsch k, Fernandez Steeger TM (2021) Comparative evaluation of statistical and fractal approaches for JRC calculation based on a large dataset of natural rock traces. Rock Mech Rock Eng 54(4):1897–1917

    Article  Google Scholar 

  • Palmstrom A (2005) Measurements of and correlations between block size and rock quality designation (RQD). Tunn Undergr Space Technol 20:362–377

    Article  Google Scholar 

  • Qiaoyun H, Yi Z (2019) Kongqing L and Zou Shenghua, “Computational evaluation of cooling system under deep hot and humid coal mine in China: a thermal comfort study.” Tunn Undergr Space Technol 90:394–403

    Article  Google Scholar 

  • Reece K (2020) Gabriel and Walton, “A case study on the efficacy of different roof bolting schemes in Lhoist North America’s Crab Orchard Mine.” Int J Min Sci Technol 3(1):96–101

    Google Scholar 

  • Shengming HU, Xiuwen HU (2011) Estimation of rock mass parameters based on quantitative GSI system and Hoek–Brown criterion. Rock Soil Mech 32(3):861–866

    Google Scholar 

  • Somodi G (2018) gnes Krupa, L Kovács and B Vásárhelyi, “Comparison of different calculation methods of Geological Strength Index (GSI) in a specific underground construction site.” Eng Geol 243:50–58

    Article  Google Scholar 

  • Sun G, Gaojian HU, Xiao P, Wang X (2017) Study on strength calculation and quality grading of slope rock in Fushan West Open Pit Mine. Coal Sci Technol 45(12):36–42

    Google Scholar 

  • Tajduś K (2010) Determination of approximate value of a GSI Index for the disturbed rock mass layers in the area of Polish coal mines. Arch Min Sci 55(4):879–890

    Google Scholar 

  • Wang K, Dongqiang XU (2016) Application of quantitative GSI in the estimation of rock mechanics parameters. J Railw Sci Eng 13(11):2168–2173

    Google Scholar 

  • Wang Y, Wang SH, Guo MD, Dong ZH (2011) Fast digital identification of joint information of tunnel work face and its stability analysis. Chinese J Geotech Eng 33(11):1734–1734

    Google Scholar 

  • Wang C, Elsworth D, Fang Yi, Zhang F (2020) Influence of fracture roughness on shear strength, slip stability and permeability: A mechanistic analysis by three-dimensional digital rock modeling. J Rock Mech Geotech Eng 12(4):720–731

    Article  Google Scholar 

  • Xia K, Chen C, Liu X, Zheng Y, Zhou Y (2013) Estimation of rock mass mechanical parameters based on ultrasonic velocity of rock mass and Hoek–Brown criterion and its application to engineering. Chin J Rock Mech Eng 32(7):1458–1466

    Google Scholar 

  • Xing J, Guo Z, Yujie LI, Qiu J, Sun X (2019) Calculation of mechanical parameters of fractured rock mass based on fuzzy clustering and Hoek–Brown criterion. China Min Mag 28(5):140–145

    Google Scholar 

  • Xua J, Yang X (2018) Seismic stability analysis and charts of a 3D rock slope in Hoek–Brown media. Int J Rock Mech Min Sci 112:64–76

    Article  Google Scholar 

  • Yong R, Ye J, Liang QF, Huang M, Du SG (2018) Estimation of the joint roughness coefficient (JRC) of rock joints by vector similarity measures. Bull Eng Geol Env 77(2):735–749

    Article  Google Scholar 

  • Zareifard MR, Shekari MR (2021) Comprehensive solutions for underwater tunnels in rock masses with different GSI values considering blast-induced damage zone and seepage forces. Appl Math Model 96(1):236–268

    Article  Google Scholar 

  • Zhang Y, Liu X, Li X, Wang S, Ren F (2019) Numerical characterization for rock mass integrating GSI/Hoek–Brown system and synthetic rock mass method. J Struct Geol 126:318–329

    Article  Google Scholar 

  • Zhao X, Liu J, Zhang H, You W, Liu F (2014) Rockmass structural plane digital recognition and stope stability classification based on the photographic surveying method. J Min Saf Eng 31(1):127–133

    Google Scholar 

  • Zheng C, Yang TH, Liu HL, Liu QL, Liu TL (2011) Slope rock mass structure digital photogrammetry and research on mechanical parameter in Dagushan Iron Mine. J China Coal Soc 36(3):383–387

    Google Scholar 

  • Zhou J, Yang XA (2021) An analysis of the support loads on composite lining of deep-buried tunnels based on the Hoek–Brown strength criterion. Tunn Undergr Space Technol 118:104174

    Article  Google Scholar 

  • Zou X, Wang C, Han Z, Wang J, Wang Y, Song H (2017) Fully automatic identifying the structural planes with panoramic images of boreholes. Chin J Rock Mech Eng 36(8):1910–1920

    Google Scholar 

Download references

Acknowledgements

Financial support from the Central Guidance on Local Science and Technology Development Fund of Hebei Province under grant No. 226Z1201G and the Young Fund of Scientific and Technological Research Projects of Higher Education Institutions in Hebei Province under grant No. QN2019183 and Foundation of Hebei Province for Selected Overseas Scholar under grant No. C20210109 and Project for Young Top Talents of Langfang City under grant No. LFBJ202008 and Ph. D Foundation Project of North China Institute of Aerospace Engineering under grant No.BKY-2018-21 are gratefully acknowledged.

Author information

Authors and Affiliations

Authors

Contributions

DH, the overall idea of the paper and the paper writing. XZ, the numerical simulation. YZ, analysis of on-site monitoring data. CG, the numerical simulation. CW, the experimental data analysis.

Corresponding author

Correspondence to Dinggui Hou.

Ethics declarations

Conflict of Interest

The authors declare that there is no conflict of interests regarding the publication of this paper.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hou, D., Zheng, X., Zhou, Y. et al. Analysis and Application of Surrounding Rock Mechanical Parameters of Jointed Rock Tunnel Based on Digital Photography. Geotech Geol Eng 41, 721–739 (2023). https://doi.org/10.1007/s10706-022-02298-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10706-022-02298-0

Keywords

Navigation