Surface Subsidence Characteristics of Mining Panel Layout Configuration with Multi-Seam Longwall Mining
Abstract
:1. Introduction
2. Mining Panel Layout Configuration
2.1. Mining Panel Layout Configuration with Equal Width
2.2. Mining Panel Layout Configuration with Unequal Width
3. Surface Subsidence Characteristics of Mining Panel Layout Configuration
3.1. Numerical Model
3.2. Ground Surface Subsidence
3.2.1. Stacked
3.2.2. External Staggered
3.2.3. The Edge of the Upper Panel Internal Staggered
3.2.4. The Edge of the Lower Panel Internal Staggered
3.2.5. Two Edges of the Upper Panel Internal Staggered
3.2.6. Two Edges of the Lower Panel Internal Staggered
3.2.7. External Staggered of the Upper Panel with a Coal Pillar
3.2.8. Internal Staggered of the Upper Panel with a Coal Pillar
3.3. Horizontal Displacement
3.3.1. Stacked
3.3.2. External Staggered
3.3.3. The Edge of the Upper Panel Internal Staggered
3.3.4. The Edge of the Lower Panel Internal Staggered
3.3.5. Two Edges of the Upper Panel Internal Staggered
3.3.6. Two Edges of the Lower Panel Internal Staggered
3.3.7. External Staggered of the Upper Panel with a Coal Pillar
3.3.8. Internal Staggered of the Upper Panel with a Coal Pillar
3.4. Crack Propagation, Break Angle and Movement Angle
3.4.1. Stacked
3.4.2. External Staggered
3.4.3. The Edge of the Upper Panel Internal Staggered
3.4.4. The Edge of the Lower Panel Internal Staggered
3.4.5. Two Edges of the Upper Panel Internal Staggered
3.4.6. External Staggered of the Upper Panel with a Coal Pillar
3.4.7. Internal Staggered of the Upper Panel with a Coal Pillar
3.5. Ground Surface Fissure Development
3.5.1. Stacked
3.5.2. External Staggered
3.5.3. The Edge of the Upper Panel Internal Staggered
3.5.4. The Edge of the Lower Panel Internal Staggered
3.5.5. Two Edges of the Upper Panel Internal Staggered
3.5.6. Two Edges of the Lower Panel Internal Staggered
3.5.7. External Staggered of the Upper Panel with a Coal Pillar
3.5.8. Internal Staggered of the Upper Panel with a Coal Pillar
4. Comparative Analysis of MISS with Different Mining Panel Layout Configurations
4.1. MISS Influence Range
4.2. Ground Surface Movement
4.3. Ground Surface Fissure Development
5. Discussion
6. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Peng, S.S. Surface Subsidence Engineering; SME: New York, USA, 1992. [Google Scholar]
- Jiránková, E.; Waclawik, P.; Nemcik, J. Assessment of models to predict surface subsidence in the Czech part of the Upper Silesian Coal Basin—Case study. Acta Geodyn. Et Geomater. 2020, 17, 469–484. [Google Scholar] [CrossRef]
- Zhu, H.Z.; He, F.L.; Zhang, S.B.; Yang, Z.Q. An integrated treatment technology for ground fissures of shallow coal seam mining in the mountainous area of southwestern China: A typical case study. Gospod. Surowcami Miner.-Miner. Resour. Manag. 2018, 34, 119–137. [Google Scholar]
- Tajduś, K.; Misa, R.; Sroka, A. Analysis of the surface horizontal displacement changes due to longwall panel advance. Int. J. Rock Mech. Min. Sci. 2018, 104, 119–125. [Google Scholar] [CrossRef]
- Tichavský, R.; Jiránková, E.; Fabiánová, A. Dating of mining-induced subsidence based on a combination of dendrogeomorphic methods and in situ monitoring. Eng. Geol. 2020, 272, 105650. [Google Scholar] [CrossRef]
- Booth, C.J.; Curtiss, A.M.; Demaris, P.J.; Van Roosendaal, D.J. Anomalous increases in piezometric levels in advance of longwall mining subsidence. Environ. Eng. Geosci. 1999, 5, 407–417. [Google Scholar] [CrossRef]
- Mao, G.Z.; Fan, Y.; Li, X.S.; Ou, J.E.; Fang, X.R.; Zhu, H.M.; He, P.R. Progress of the studies of mining subsidence: Based on the literature statistics of CNKI journals from 2011 to 2021. Mod. Min. 2022, 38, 53–57+94. [Google Scholar]
- Cui, X.M.; Deng, K.Z. Research review of predicting theory and method for coal mining subsidence. Coal Sci. Technol. 2017, 45, 160–169. [Google Scholar]
- Hejmanowski, R.; Malinowska, A.A. Evaluation of reliability of subsidence prediction based on spatial statistical analysis. Int. J. Rock Mech. Min. Sci. 2009, 46, 432–438. [Google Scholar] [CrossRef]
- Jiang, Y.; Preusse, A.; Sroka, A. Angewandte Bodenbewegungsund Bergschadenkunde; VGE Verlag: Essen, Germany, 2006. [Google Scholar]
- Keinhorsh, H. Bei Bodensenkungen auftretende bodenverschiebun⁃gen und bodenspannungen. Glückauf 1928, 64, 1141–1145. [Google Scholar]
- Avershin. Strata movement in underground coal mining. In Teaching and Research Group of Mine Survey in Beijing Institute of Mining and Technology (Translation); Coal Industry Press: Beijing, China, 1959. [Google Scholar]
- Perz, F. Der Einfluß der Zeit auf die Bodenbewegung über Abbauen. Mitt. Marks. 1948, 55, 92–117. [Google Scholar]
- Cui, X.M. Prediction of progressive surface subsidence above longwall coal mining using a time function. Int. J. Rock Mech. Min. Sci. 2001, 38, 1057–1063. [Google Scholar] [CrossRef]
- Liu, Y.C.; Cao, S.G.; Liu, Y.B. Discussion on some time functions for describing dynamic course of surface subsidence due to mining. Rock Soil Mech. 2010, 31, 925–931. [Google Scholar]
- Ma, W.M.; Wang, J.Z.; Kratzsch, H. Mining Damage and Protection; Coal Industry Press: Beijing, China, 1984. [Google Scholar]
- Liu, Y.C. Study on the Dynamic Course of the Surface Subsidence and the Model Based on Theory of Key Rock Stratum; Chongqing University: Chongqing, China, 2010. [Google Scholar]
- Dai, H.Y.; Li, W.C.; Liu, Y.X.; Jiang, Y.D. Numerical simulation of surface movement laws under different unconsolidated layers thickness. Trans. Nonferrous Met. Soc. China 2011, 21, 599–603. [Google Scholar] [CrossRef]
- Guo, W.B.; Hou, Q.L.; Zou, Y.F. Relationship between surface subsidence factor and mining depth of strip pillar mining. Trans. Nonferrous Met. Soc. China 2011, 21, 594–598. [Google Scholar] [CrossRef]
- Wang, B.L.; Xu, J.L.; Xuan, D.Y. Time function model of dynamic surface subsidence assessment of grout-injected overburden of a coal mine. Int. J. Rock Mech. Min. Sci. 2018, 104, 1–8. [Google Scholar] [CrossRef]
- Sun, Y.J.; Zuo, J.P.; Karakus, M.; Liu, L.; Zhou, H.W.; Yu, M.L. A new theoretical method to predict strata movement and surface subsidence due to inclined coal seam mining. Rock Mech. Rock Eng. 2021, 54, 2723–2740. [Google Scholar] [CrossRef]
- Sun, Y.J.; Zuo, J.P.; Karakus, M.; Wang, J.T. Investigation of movement and damage of integral overburden during shallow coal seam mining. Int. J. Rock Mech. Min. Sci. 2019, 117, 63–75. [Google Scholar] [CrossRef]
- Chi, S.S.; Wang, L.; Yu, X.X.; Lv, W.C.; Fang, X.J. Research on dynamic prediction model of surface subsidence in mining areas with thick unconsolidated layers. Energy Explor. Exploit. 2021, 39, 927–943. [Google Scholar] [CrossRef]
- Zhu, X.J.; Guo, G.L.; Liu, H.; Yang, X.Y. Surface subsidence prediction method of backfill-strip mining in coal mining. Bull. Eng. Geol. Environ. 2019, 78, 6235–6248. [Google Scholar] [CrossRef]
- Yan, W.T.; Chen, J.J.; Yan, Y.G. A new model for predicting surface mining subsidence: The improved lognormal function model. Geosci. J. 2018, 23, 165–174. [Google Scholar] [CrossRef]
- Sidki-Rius, N.; Sanmiquel, L.; Bascompta, M.; Parcerisa, D. Subsidence management and prediction system: A case study in Potash Mining. Minerals 2022, 12, 1155. [Google Scholar] [CrossRef]
- Huang, G.; Pinnaduwa Kulatilake, H.S.W.; Shreedharan, S.; Cai, S.J.; Song, H.Q. 3-D discontinuum numerical modeling of subsidence incorporating ore extraction and backfilling operations in an underground iron mine in china. Int. J. Min. Sci. Technol. 2017, 27, 191–201. [Google Scholar] [CrossRef]
- Pan, R.K.; Li, Y.; Wang, H.; Chen, J.; Xu, Y.L.; Yang, H.Y.; Cao, S.G. A new model for the identification of subcritical surface subsidence in deep pillarless mining. Eng. Fail. Anal. 2021, 129, 105631. [Google Scholar] [CrossRef]
- Ren, J.C.; Kang, X.T.; Tang, M.; Gao, L.; Hu, J.G.; Zhou, C.L. Coal mining surface damage characteristics and restoration technology. Sustainability 2022, 14, 9745. [Google Scholar] [CrossRef]
- Müller, D.; Preusse, A. Use of the area of main influence to fix a relevant boundary for mining damages in Germany. Int. J. Min. Sci. Technol. 2018, 28, 79–83. [Google Scholar] [CrossRef]
- Diao, X.P.; Bai, Z.H.; Wu, K.; Zhou, D.W.; Li, Z.L. Assessment of mining-induced damage to structures using InSAR time series analysis: A case study of Jiulong Mine, China. Environ. Earth Sci. 2018, 77, 166. [Google Scholar] [CrossRef]
- Diao, X.; Wu, K.; Zhou, D.; Wang, J.; Duan, Z.; Yu, Z. Combining subsidence theory and slope stability analysis method for building damage assessment in mountainous mining subsidence regions. PLoS ONE 2019, 14, e02100212019. [Google Scholar] [CrossRef]
- Kim, J.H.; Kim, K.H.; Yoo, S.H. Evaluating and ranking the mining damage prevention programs in South Korea: An application of the fuzzy set theory. Resour. Policy 2022, 78, 102873. [Google Scholar] [CrossRef]
- Nadiri, A.A.; Taheri, Z.; Khatibi, R.; Barzegari, G.; Dideban, K. Introducing a new framework for mapping subsidence vulnerability indices (SVIs): ALPRIFT. Sci. Total Environ. 2018, 628, 1043–1057. [Google Scholar] [CrossRef] [PubMed]
- Nadiri, A.A.; Khatibi, R.; Khalifi, P.; Feizizadeh, B. A study of subsidence hotspots by mapping vulnerability indices through innovatory ‘ALPRIFT’ using artificial intelligence at two levels. Bull. Eng. Geol. Environ. 2020, 79, 3989–4003. [Google Scholar] [CrossRef]
- Sadeghfam, S.; Khatibi, R.; Dadashi, S.; Nadiri, A.A. Transforming subsidence vulnerability indexing based on ALPRIFT into risk indexing using a new fuzzy-catastrophe scheme. Environ. Impact Assess. Rev. 2020, 82, 106352. [Google Scholar] [CrossRef]
- Gharekhani, M.; Nadiri, A.A.; Khatibi, R.; Sadeghfam, S. An investigation into time-variant subsidence potentials using inclusive multiple modelling strategies. J. Environ. Manag. 2021, 294, 112949. [Google Scholar] [CrossRef] [PubMed]
- Zhang, J.X.; Sun, Q.; Fourie, A.; Ju, F.; Dong, X.J. Risk assessment and prevention of surface subsidence in deep multiple coal seam mining under dense above-ground buildings: Case study. Hum. Ecol. Risk Assess. Int. J. 2018, 25, 1579–1593. [Google Scholar] [CrossRef]
- Yang, D.D.; Qiu, H.J.; Ma, S.Y.; Liu, Z.J.; Du, C.; Zhu, Y.; Cao, M.M. Slow surface subsidence and its impact on shallow loess landslides in a coal mining area. Catena 2021, 209, 105830. [Google Scholar] [CrossRef]
- Li, G.; Steuart, P.; Pquet, R.; Ramage, R. A case study on mine subsidence due to multi seam longwall extraction. In Proceedings of the Second Australasian Ground Control in Mining Conference, Sydney, Australia, 23–24 November 2010; pp. 191–200. [Google Scholar]
- Ghabraie, B.; Ghabraie, K.; Ren, G.; Smith, J.V. Numerical modelling of multistage caving processes: Insights from multi-seam longwall mining-induced subsidence. Int. J. Numer. Anal. Methods Geomech. 2017, 41, 1–17. [Google Scholar] [CrossRef]
- Li, G.; Steuart, P.; Pâquet, R. A case study on multi-seam subsidence with specific reference to longwall mining under existing longwall goaf. In Proceedings of the Seventh Triennial Conference on Mine Subsidence, Sydney, Australia, 26–27 November 2007; pp. 111–125. [Google Scholar]
- MSEC. North Wambo Underground modification subsidence assessment—Report number MSEC495. Tech. Rep. Mine Subsid. Eng. Consult. 2012. [Google Scholar]
- Guo, G.L.; Wang, Y.H.; Ma, Z.G. A new method for ground subsidence control in coal mining. J. China Univ. Min. Technol. 2004, 33, 26–29. [Google Scholar]
- Galvin, J.M. Ground Engineering Principles and Practices for Underground Coal Mining, 1st ed.; Springer International Publishing: Cham, Switzerland, 2016. [Google Scholar]
- Adhikary, D.; Khanal, M.; Jayasundara, C.; Balusu, R. Deficiencies in 2d simulation: A comparative study of 2d versus 3d simulation of multi-seam longwall mining. Rock Mech. Rock Eng. 2015, 49, 2181–2185. [Google Scholar] [CrossRef]
- Parmar, H.; Yarahmadi Bafghi, A.; Najafi, M. Impact of ground surface subsidence due to underground mining on surface infrastructure: The case of the Anomaly No. 12 Sechahun, Iran. Environ. Earth Sci. 2019, 78, 1–14. [Google Scholar] [CrossRef]
- Suchowerska, A.M. The Geomechanics of Single-Seam and Multi-Seam Longwall Coal Mining; University of Newcastle: Newcastle, Australia, 2014. [Google Scholar]
- Unlu, T.; Akcin, H.; Yilmaz, O. An integrated approach for the prediction of subsidence for coal mining basins. Eng. Geol. 2013, 166, 186–203. [Google Scholar] [CrossRef]
- Luo, Y.; Qiu, B. CISPM-MS: A tool to predict surface subsidence and to study interactions associated with multi-seam mining operations. In Proceedings of the 31st International Conference on Ground Control in Mining, Morgantown, WV, USA, 31 July–2 August 2012; pp. 1–7. [Google Scholar]
- Zhao, K.; Xu, N.; Mei, G.; Tian, H. Predicting the Distribution of Ground Fissures and Water-Conducted Fissures Induced by Coal Mining: A Case Study. Springerplus 2016, 5, 977. [Google Scholar] [CrossRef] [PubMed]
- Liu, N.N.; Feng, X.Y.; Huang, Q.B.; Fan, W.; Peng, J.B.; Lu, Q.Z.; Liu, W.L. Dynamic characteristics of a ground fissure site. Eng. Geol. 2019, 248, 220–229. [Google Scholar] [CrossRef]
- Howard, K.W.F.; Zhou, W.F. Overview of ground fissure research in China. Environ. Earth Sci. 2019, 78, 97. [Google Scholar] [CrossRef]
Rock Strata | Density (kg·m−3) | Bulk Modulus /GPa | Shear Modulus /GPa | Tensile Strength /MPa | Cohesion /MPa | Friction Angle /(°) |
---|---|---|---|---|---|---|
Overlying strata | 2400 | 4.0 | 3.0 | 3.0 | 2.8 | 27 |
Main roof | 2550 | 6.9 | 4.5 | 4.4 | 5.5 | 38 |
Immediate roof | 2100 | 3.0 | 1.3 | 2.0 | 2.5 | 26 |
Coal seam | 1400 | 1.7 | 1.0 | 1.4 | 1.6 | 20 |
Floor | 2650 | 6.6 | 4.0 | 3.7 | 3.2 | 30 |
Rock Strata | Normal Stiffness /GPa | Shear Stiffness /GPa | Tensile Strength /MPa | Cohesion /MPa | Friction Angle /(°) |
---|---|---|---|---|---|
Overlying strata | 4.0 | 2.5 | 0 | 0.10 | 17 |
Main roof | 7.0 | 3.0 | 0 | 0.03 | 20 |
Immediate roof | 3.0 | 1.5 | 0.04 | 0.02 | 14 |
Coal seam | 2.0 | 1.0 | 0 | 0.05 | 12 |
Floor | 10 | 8.0 | 1.0 | 0.12 | 20 |
Mining Panel Layout Configuration | MISS Influence Range | MISS Profile | Break Angle | Movement Angle |
---|---|---|---|---|
Stacked | Subsidence coefficient was 0.998. | The profile presented a V shape and became steep on both edges, and the bottom presented the shape of a bowl. | Significantly decreased from 45° to 20°. | Slightly increased |
External staggered (Internal staggered) | MISS of the overlapped region was significantly increased, and the subsidence coefficient was 0.847. | The left part of the profile presented the shape of a plate, and the right part presented a V shape. | Slightly decreased | Slightly increased |
The edge of the upper panel internal staggered | MISS of the overlapped region was significantly increased, and the subsidence coefficient was 0.991. | The profile presented a U shape and became steep on both edges, and the bottom presented the shape of a plate. | Slightly decreased | Slightly decreased |
The edge of the lower panel internal staggered | MISS of the overlapped region was significantly increased, and the subsidence coefficient was 0.992. | The left part of the profile presented a V shape, and the right part presented the shape of a plate. | Slightly decreased | Slightly decreased |
Two edges of the upper panel internal staggered | MISS was serious, and subsidence coefficient was 0.996. | The profile presented a U shape, and the bottom presented the shape of a plate. | Slightly decreased | Slightly decreased |
Two edges of the lower panel internal staggered | MISS was serious, and subsidence coefficient was 0.997. | The upper part of the profile presented a U shape, and the lower part presented a V shape. | Slightly decreased | Slightly increased |
External staggered of the upper panel with a coal pillar | Subsidence coefficient was 0.721. | The profile presented the shape of a bowl. | Slightly decreased | Slightly increased |
Internal staggered of the upper panel with a coal pillar | Subsidence coefficient was 0.65. | The profile presented a W shape. | Slightly decreased | Slightly increased |
Mining Panel Layout Configuration | The Development Type | The Development Scale | Notes |
---|---|---|---|
Stacked | GSF1: Graben GSF2: Slided GSF3: Stepped | GSF1: 0.41 m (width), 0.73 m (fall) GSF2: 0.36 m (width), 0.3 m (fall), and 13.4 m (depth) GSF3: 0.75 m (fall) | |
External staggered (Internal staggered) | GSF1: V shape GSF2: Stepped GSF3: Slided | GSF1: 0.21 m (fall) GSF2: 0.5 m → 0.63 m (fall) GSF3: 0.12 m (depth), 9.5 m (depth) | GSF3 was developed after the lower panel was extracted. |
The edge of the upper panel internal staggered | GSF1: Stepped GSF2: Stepped GSF3: Slided | GSF1: 0.21 m → 0.72 m (fall) GSF2: 0.7 m (fall) GSF3: 0.2 m (width), 0.224 m (fall), 7.7 m (depth) | GSF3 was developed after the lower panel was extracted. |
The edge of the lower panel internal staggered | GSF1: Stepped GSF2: Stepped GSF3: Stepped | GSF1: 0.4 m (fall) GSF2: 1.0 m (fall) GSF3: 1.3 m (fall) | GSF3 was developed after the lower panel was extracted. |
Two edges of the upper panel internal staggered | GSF1: Stepped GSF2: Stepped GSF2: Slided | GSF1: 0.38 m (fall) GSF2: 0.75 m (fall) GSF3: 0.14 m (width), 12.5 m (depth) | |
Two edges of the lower panel internal staggered | GSF1: Stepped GSF2: Stepped GSF2: Stepped | GSF1: 0.1 m → 0.2 m (fall) GSF2: 1.3 m (fall) GSF3: 1.0 m → 1.3 m (fall) | |
External staggered of the upper panel with a coal pillar | GSF1: Stepped GSF2: Stepped GSF2: Slided | GSF1: 0.3 m (fall) GSF2: 0.4 m (fall) GSF3: 0.34 m (width), 13.5 m (depth) | |
Internal staggered of the upper panel with a coal pillar | GSF1: Stepped GSF2: Stepped GSF2: Slided | GSF1: 0.1 m (fall) GSF2: 0.1 m → 0.16 m (fall) |
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Zhu, H.; Wang, H.; Gao, R.; Zhao, Y. Surface Subsidence Characteristics of Mining Panel Layout Configuration with Multi-Seam Longwall Mining. Processes 2023, 11, 1590. https://doi.org/10.3390/pr11061590
Zhu H, Wang H, Gao R, Zhao Y. Surface Subsidence Characteristics of Mining Panel Layout Configuration with Multi-Seam Longwall Mining. Processes. 2023; 11(6):1590. https://doi.org/10.3390/pr11061590
Chicago/Turabian StyleZhu, Hengzhong, Huajun Wang, Rong Gao, and Yongqiang Zhao. 2023. "Surface Subsidence Characteristics of Mining Panel Layout Configuration with Multi-Seam Longwall Mining" Processes 11, no. 6: 1590. https://doi.org/10.3390/pr11061590
APA StyleZhu, H., Wang, H., Gao, R., & Zhao, Y. (2023). Surface Subsidence Characteristics of Mining Panel Layout Configuration with Multi-Seam Longwall Mining. Processes, 11(6), 1590. https://doi.org/10.3390/pr11061590