Skip to main content
Log in

Research on Excavation and Stability of Deep High Stress Chamber Group: A Case Study of Anju Coal Mine

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

Abstract

As the underground transportation hub and power center, the stability of chamber group is one of the key points of coal mine construction. With the increasing of mining depth, it is more and more difficult to control the stability of roadway and chamber in coal mine, especially in the mining process. Because the excavation of chamber group is a dynamic and multi factor coupling process of, it is necessary to adopt dynamic construction mechanics to optimize the excavation scheme. Therefore, based on the engineering background of − 1155 m level at Anju coal mine in Shandong, the numerical model of deep high stress chamber group is established. Then the interaction of adjacent roadways in the process of excavation and the stress superposition of chamber intersection are studied. The excavation process of the chamber group is divided into three phases, and the construction optimization scheme is formulated. Through numerical simulation, the stress and plastic zone of each excavation scheme are analyzed, and the optimal construction sequence of each phase is determined. Finally, through the field implementation and engineering application, the optimal excavation scheme of tunnel group design is proved. The results provide a scientific basis for the excavation of deep high stress caverns and the improvement of surrounding rock support. At the same time, it also has a good reference significance for other similar underground engineering.

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 Statement

All data used to support the findings of this study are available from the corresponding author upon request.

References

  • An HG, Feng XT, Li SJ (2003) Research on parallel evolutionary neural network fem for stability analysis and optimization of large cavern group—part I: theory model. Chin J Rock Mech Eng 22(05):706–710

    Google Scholar 

  • Bai JB, Hou CJ (2006) Control principle of surrounding rocks in deep roadway and its application. J China Univ Min Technol 35(2):145–148

    Google Scholar 

  • Cai F (2017) Integrated control technology of surrounding stability of pump house absorbing water well chambers in deep. Coal Min Technol 22(01):60–64

    Google Scholar 

  • Chen SY, Zhou WY, Yang Q, Yang RQ (2003) Analysis on stability of surrounding rocks of shuibuya underground plant by three-dimensional fast lagrangian method. Chin J Rock Mech Eng 22(07):1047–1053

    Google Scholar 

  • Chen WZ, Li SC, Zhu WS et al (2004) Excavation and optimization theory for giant underground caverns constructed in high dipping laminar strata. Chin J Rock Mechan Eng 23(19):3281–3287

    Google Scholar 

  • Hajiabdolmajid V, Kaiser PK (2003) Brittleness of rock and stability assessment in hard rock tunneling. Tunn Undergr Space Technol 18(1):35–48

    Article  Google Scholar 

  • Hao CS, Yang YJ, Liu R et al (2014) Numerical simulation analysis of the stability of large cross-section y-arched roadway crossing point. Saf Coal Mines 45(03):179-182+185

    Google Scholar 

  • He MC, Li CH, Wang SR (2002) Research on the non-linear mechanics characters of large section cavern excavating within soft rock by numerical simulation. Chin J Rock Mech Eng 24(04):483–486

    Google Scholar 

  • He MC, Li GF, Ren AW, Yan J (2008) Analysis of the stability of intersecting chambers in deep soft-rock roadway construction. J China Univ Min Technol 02:167–170

    Google Scholar 

  • Jiang Q, Feng XT, Chen GQ, Su GS (2008) Stability study of large underground caverns under high geostress. Chin J Rock Mech Eng 27(S2):3768–3777

    Google Scholar 

  • Jiang Q, Feng XT, Li SJ et al (2019) Cracking-restraint design method for large underground caverns with hard rock under high geostress condition and its practical application. Chin J Rock Mech Eng 38(06):1081–1101

    Google Scholar 

  • Li SC, Wang WM (1997) Analysis of effect on surrounding rockmass stability with different excavating sequences for cavern group. J Shandong Min Inst 16(02):8–12

    Google Scholar 

  • Li SC, Zhu WSS, Zhang YJ (1998) Research on construction sequence majorization for a group of carverns in joined rockmass. Chin J Geotech Eng 20(01):3–5

    Google Scholar 

  • Li J, Wei BL, Jiao K et al (2018) Research and practice of excavation and support technology for large underground caverns: case of Yangfanggou Hydropower Station. Yangtze River 49(24):76–82

    Google Scholar 

  • Li CR, Wu YZ, Chu XW et al (2019) Simulation of surrounding rock stress distribution and failure characteristics of chamber group with high stress in deep. Coal Min Technol 24(01):62-66+85

    Article  Google Scholar 

  • Li B, Ding QF, Xu NW et al (2020) Mechanical response and stability analysis of rock mass in high geostress underground powerhouse caverns subjected to excavation. J Central South Univ 27(10):2971–2984

    Article  Google Scholar 

  • Liu GC, Lin J, Han XJ (2016) Stability control and support technique of surrounding rocks in deep high stress connecting chambers of shaft. Saf Coal Mines 47(10):77–80

    Google Scholar 

  • Liu XS, Song SL, Fan DY et al (2020) Experimental study on deformation and failure evolution of surrounding rock for deep super-large section chamber group. J Min Saf Eng 37(01):40–49

    Google Scholar 

  • Ru ZL, Feng XT, Li HD et al (2006) 3D elastoplatic parallel finite element analysis of large-scale underground engineering. Chin J Rock Mech Eng 25(6):1141–1146

    Google Scholar 

  • Sha X, Sun WZ, Liu ZH et al (2018) Stability analysis and control technology of surrounding rock on large section coal roadway chamber group. Saf Coal Mines 49(12):225–228

    Google Scholar 

  • Su GS, Feng XT (2005) Parameter identification of constitutive model for hard rock under high in-situ stress condition using particle swarm optimization algorithm. Chin J Rock Mech Eng 24(17):3029–3034

    Google Scholar 

  • Su GS, Feng XT, Jiang Q et al (2007) Intelligent method of combinatorial optimization of excavation sequence and support parameters for large underground caverns under condition of high geostress. Chin J Rock Mech Eng 26(S1):2800–2808

    Google Scholar 

  • Tian ZH, Cao WG, Cheng Y (2004) FEM simulation in excavation of cluster underground caves. Central South Highw Eng 29(03):26–30

    Google Scholar 

  • Tong W, Ou Y, Luo C et al (2005) Study on excavation of large underground caverns by 3D elastic-plastic FEM. Hong Shui River 24(04):5–8

    Google Scholar 

  • Wang YS, Li XQ (2001) The elastic-plastic finite element analysis on the surrounding rocks of the caverns and the optimization of its construction alternatives. Water Power 48(06):35-38+75

    Google Scholar 

  • Wang MS, Xiong MF, Xie PZ et al (2000) Construction space-time random simulation and optimal selection of construction scheme of a group of underground caverns. Yunnan Water Power 16(04):16–21

    Google Scholar 

  • Wang T, Chen XL, Yu LH (2005) Discrete element calculation of surrounding rock mass stability of underground cavern group. Rock Soil Mech 26(12):1936–1940

    Google Scholar 

  • Wang D, Dong ZZ, Zhang AP, Bai JB (2007) Creep analysis of soft surrounding rocks of the tunnels with the power exponential model. J Hefei Univ Technol 30(11):1485–1488

    Google Scholar 

  • Xiao M (2000) Three-dimensional numerical model of construction process for underground opening. Chin J Geotech Eng 22(04):421–425

    Google Scholar 

  • Xu XL, Zhang N (2007) Study of control process deformation behavior of soft rock drift under rich water condition. J China Univ Min Technol 36(3):298–302

    Google Scholar 

  • Yang JX, Huang SL, Liu ZX (2019) Relationship between deformation failure and strength-to-stress ratio of surrounding rock of large-scale underground hard rock caverns under high geo-stress. J Yangtze River Sci Res Inst 36(02):63–70

    Google Scholar 

  • Yu YT, Xiao M (1987) Three dimensions elasto-plastic finite element analysis for the surrounding rock stability of large-scale underground openings. Chin J Rock Mech Eng 6(01):47–56

    Google Scholar 

  • Yuan GB, Yang MY (2014) Numerical simulation research on stability of soft rock roadway crossing. Coal Technol 33(05):119–122

    Google Scholar 

Download references

Acknowledgements

This work was supported by the National Outstanding Youth Science Fund Project of National Natural Science Foundation of China (CN), 51704180, research on bending failure mechanism of reinforced concrete filled steel tubular support under uneven load, Jinxiao Liu (skd993938@sdust.edu.cn).

Author information

Authors and Affiliations

Authors

Contributions

FZ performed manuscript preparation, the data analyses and wrote the manuscript; JL contributed to the conception of the study; XZ performed the experiment and numerical simulation; HN performed sorting of data; YL helped perform the analysis with constructive discussions.

Corresponding author

Correspondence to Feng Zhang.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher's Note

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

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, F., Liu, J., Zhang, X. et al. Research on Excavation and Stability of Deep High Stress Chamber Group: A Case Study of Anju Coal Mine. Geotech Geol Eng 39, 3611–3626 (2021). https://doi.org/10.1007/s10706-021-01714-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10706-021-01714-1

Keywords

Navigation