Skip to main content
SpringerLink
Log in

Subsidence prediction method of solid backfilling mining with different filling ratios under thick unconsolidated layers

  • Original Paper
  • Published:
Arabian Journal of Geosciences Aims and scope Submit manuscript

Abstract

Solid backfill mining for coal pillar recovery in industrial squares has to ensure that the mine infrastructure, such as the shafts and substations, is not degraded or has its utility impaired by that mining. At the same time, it is important to recover as much coal as possible. As a result, it is necessary to predict mining subsidence during solid backfilling mining of coal pillars in industrial squares and to optimize the design of the working faces. At the Baishan coal mine in Anhiu province, China, there are thick layers of unconsolidated overburden above the coal seam so it is not appropriate to use the surface subsidence prediction method of equivalent mining height to predict subsidence during the mining of the coal pillars there. In order to find a reasonable coal pillar recovery scheme for the Baishan mine, a numerical simulation method is used to determine the relationships between the compression ratio of the backfilling material and the surface subsidence prediction parameters. Research was done to determine the appropriate parameters, and based on the final prediction parameters and taking the mandated protection standards for buildings and structures into account, surface subsidence is predicted and a backfill mining scheme for pillar recovery is proposed. The results show that of the six mining schemes considered, scheme 5 is the best scheme for coal pillar recovery in the industrial square at the Baishan mine. The research results are significant for similar mines with thick unconsolidated overburden anywhere in the world.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  • Aksoy, C. O. (2002). Numerical modelling for the recovery of protecting pillars in Soma District (doctoral dissertation, Ph. D. Thesis, Dokuz Eylul Univ. Graduate Sch. of Nat. and Appl. Sci., Turkey, 97-101)

  • Aksoy CO, Kose H, Onargan T, Koca Y, Heasley K (2004) Estimation of limit angle using laminated displacement discontinuity analysis in the Soma coal field, Western Turkey. Int J Rock Mech Min Sci 41(4):547–556. https://doi.org/10.1016/j.ijrmms.2003.01.002

    Article  Google Scholar 

  • Aksoy CO, Geniş M, Aldaş GU, Özacar V, Özer SC, Yılmaz Ö (2012) A comparative study of the determination of rock mass deformation modulus by using different empirical approaches. Eng Geol 131:19–28

    Article  Google Scholar 

  • Baryakh AA, Telegina EA, Samodelkina NA, Devyatkov SY (2005) Prediction of the intensive surface subsidences in mining potash series [J]. J Min Sci 41(4):312–319. https://doi.org/10.1007/s10913-005-0096-y

    Article  Google Scholar 

  • Guo GL, Zhu XJ, Zha JF (2014) Subsidence prediction method based on equivalent mining height theory for solid backfilling mining. Trans Nonferrous Met Soc China 24(10):3302–3308

    Article  Google Scholar 

  • Guo W, Xu F (2016) Numerical simulation of overburden and surface movements for Wongawilli strip pillar mining. Int J Min Sci Technol 26(1):71–76. https://doi.org/10.1016/j.ijmst.2015.11.013

    Article  Google Scholar 

  • He GQ, Yang L, Ling G, Jia C, Hong D (1991) Mining subsidence science. China University Mining Technology Press, Xuzhou

    Google Scholar 

  • Huang YL, Zhang JX, Zhang Q et al (2011) Backfilling mining technology of substituting waste and fly ash for coal underground in china coal mining area. Environ Eng Manag J 10(6):769–775

    Google Scholar 

  • Hu HF (2012) Research on surface subsidence regularity and prediction under composite mediums with different thickness rations. PhD thesis. Taiyuan University of Technology

  • Jin L S, Mou J S (2000). Regulations on mining and coal pillar design under building, water body, railway and main shaft Coal Industry Press. 20–45

  • Jing L (2003) A review of techniques, advances and outstanding issues in numerical modelling for rock mechanics and rock engineering. Int J Rock Mech Min Sci 40(3):283–353. https://doi.org/10.1016/S1365-1609(03)00013-3

    Article  Google Scholar 

  • Li SX (2012). Study on the developing design of gangue filling system underbuildings for fully mechanized face in tang-shan mine. PhD thesis. Liaoning Technical University

  • Li HZ, Zhao BC, Guo GL, Zha JF, Bi JX (2016) The influence of an abandoned goaf on surface subsidence in an adjacent working coal face: a prediction method. Bull Eng Geol Environ:1–11

  • Miao XX (2010) Principle of underground pressure control in fully-mechanized coal mining with solid filling and force analysis of mining support. J Chin Univ Mining Technol 39(6):795–801

    Google Scholar 

  • Miao XX, Zhang JX, Guo GL (2010) Study on waste-filling method and technology in fully-mechanized coal mining. J China Coal Soc 35(1):1–6

    Google Scholar 

  • Marschalko M, Yilmaz I, Bednárik M, Kubečka K (2011) Variations in the building site categories in the underground mining region of Doubrava (Czech Republic) for land use planning. Eng Geol 122(3):169–178. https://doi.org/10.1016/j.enggeo.2011.05.008

    Article  Google Scholar 

  • Marschalko M, Yilmaz I, Křístková V, Fuka M, Bednarik M, Kubečka K (2012a) Determination of actual limit angles to the surface and their comparison with the empirical values in the Upper Silesian Basin (Czech Republic). Eng Geol 124:130–138. https://doi.org/10.1016/j.enggeo.2011.10.010

    Article  Google Scholar 

  • Marschalko M, Yilmaz I, Bednárik M, Kubečka K (2012b) Influence of underground mining activities on the slope deformation genesis: Doubrava Vrchovec, Doubrava Ujala and Staric case studies from Czech Republic. Eng Geol 147:37–51

    Article  Google Scholar 

  • Miao XX (2012) Progress of fully mechanized mining with solid backfilling technology. J China Coal Soc 37(8):1247–1255

    Google Scholar 

  • Mahdi S, Li CC (2012) Numerical modelling of longwall mining and stability analysis of the gates in a coal mine. Int J Rock Mech Min Sci 51:24–34

    Article  Google Scholar 

  • Nicieza CG, Fernández MIÁ, Díaz AM (2005) The new three-dimensional subsidence influence function denoted by n–k–g [J]. Int J Rock Mech Min Sci 42(3):372–387. https://doi.org/10.1016/j.ijrmms.2004.12.003

    Article  Google Scholar 

  • Rafie M, Namin FS (2015) Prediction of subsidence risk by FMEA using artificial neural network and fuzzy inference system. Int J Min Sci Technol 25(4):655–663. https://doi.org/10.1016/j.ijmst.2015.05.021

    Article  Google Scholar 

  • Singh RP, Yadav RN (1995) Prediction of subsidence due to coal mining in Raniganj coalfield, West Bengal, India. Eng Geol 39(1–2):103–111. https://doi.org/10.1016/0013-7952(94)00062-7

    Article  Google Scholar 

  • Soni AK, Singh KKK, Prakash A (2007) Shallow cover over coal mining: a case study of subsidence at Kamptee Colliery, Nagpur, India [J]. Bull Eng Geol Environ 66(3):311–318. https://doi.org/10.1007/s10064-006-0072-z

    Article  Google Scholar 

  • Shi L (2016). Method of seeking senate probability integration under conditions of thick alluvium. PhD thesis. Anhui University of Science and Technology

  • Vakili A, Hebblewhite BK (2010) A new cavability assessment criterion for longwall top coal caving. Int J Rock Mech Min Sci 47(8):1317–1329. https://doi.org/10.1016/j.ijrmms.2010.08.010

    Article  Google Scholar 

  • Wang L, Zhang XN, Guo GL, Cha JF (2014) Research on surface subsidence prediction model of coal mining with solid compacted backfilling. Rock Soil Mech 35(7):1973–1978

    Google Scholar 

  • Zhu WJ, Ma W, Hong D (1984) Creditability analysis of rock strata movement law by using similar material simulation. Mining Survey 03:10–18

    Google Scholar 

  • Zha JF (2008) Study on the foundational problems of mining subsidence controlled in waste stow. PhD thesis. China University of Mining and Technology

  • Zhang J, Zhang Q, Sun Q (2015) Surface subsidence control theory and application to backfilling coal mining technology. Environ Earth Sci 74(2):1439–1448. https://doi.org/10.1007/s12665-015-4133-0

    Article  Google Scholar 

Download references

Acknowledgments

We thank David Frishman, PhD, from Liwen Bianji, Edanz Group China (www.liwenbianji.cn/ac), for editing the English text of a draft of this manuscript.

Funding

This work was funded by the Primary Research and Development Plan of Shandong Province (Grant No. 2017GGX90102), the Project of Shandong Province Higher Educational Science and Technology Program (Grant No. J17KA217), and the NASS Key Laboratory of Land Environment and Disaster Monitoring (NO. LEDM2014B04).

Author information

Authors and Affiliations

  1. Shandong University of Science and Technology, Taian, Shandong, 271019, China

    Changqing Ma & Peipeng Zhang

  2. School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, Jiangsu, 221116, China

    Huaizhan Li

Authors
  1. Changqing Ma
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Huaizhan Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Peipeng Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Changqing Ma or Huaizhan Li.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ma, C., Li, H. & Zhang, P. Subsidence prediction method of solid backfilling mining with different filling ratios under thick unconsolidated layers. Arab J Geosci 10, 511 (2017). https://doi.org/10.1007/s12517-017-3303-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12517-017-3303-7

Keywords

Search

Navigation