Study on Quantitative Characterization of Coupling Effect between Mining-Induced Coal-Rock Mass and Optical Fiber Sensing
Abstract
:1. Introduction
2. Structural Characteristics and Evolution Law of Mining Overburden
2.1. Evolution Process of Overburden in Different Mining Stages
2.2. Vertical Zoning Theory of Mining Rock Mass and Optical Fiber Sensing Mechanism
2.3. Development Law of Roof Crack in Coal Mining
3. Basic Theory of Optical Fiber Sensor for Rock Mass Deformation Monitoring
3.1. Principle of Distributed Optical Fiber Testing (BOTDA)
3.2. Coupling Relationship between Mining Rock Mass and Optical Fiber
3.2.1. Mechanical Behavior of Rock–Optic Fiber Interface
3.2.2. Quantitative Analysis of Rock–Fiber Coupling Relationship
Theoretical Model of Quantitative Analysis of Coupling Relationship
Mathematical Expression of Coupling Coefficient between Optical Fiber and Rock Mass
Normalization of Coupling Coefficient
3.3. Establishment of Physical Similarity Model Based on Optical Fiber Sensing
4. Characterization of Vertical Zoning Division of Mining Overburden Based on Analysis of Coupling Relationship between Rock Mass and Optical Fiber
4.1. Vertical Zoning Characteristic of Monitoring Strain Data
4.2. Coupling Model of Optical Fiber–Rock Mass
4.3. Characterization of Vertical Zoning of Overburden Based on Optical Fiber Sensing
5. Conclusions
- (1)
- The coupling effect of the fiber–rock can be divided into three stages. In the first stage, there is no discontinuous deformation in the surrounding rock where the optical fiber is located. In the second stage, when the surrounding rock begins to produce discontinuous deformation, the shear layer of the rock interface gradually incurs shear failure and interface peeling. In the third stage, when the rock mass is unstable and cracked, the interface between the optical fiber and the rock mass will slide relatively.
- (2)
- The strain curves of different heights in the vertical direction can be divided into five zones according to the variation trend. It is because of the great difference in the coupling relationship between the fiber and the rock in the five different regions that the strain difference of optical fiber detection in different regions is caused. Area 1 is the original rock stress zone; area 2 is the bending subsidence zone; the sum of area 3 and 4 is the fractured zone; area 5 is the coal seam floor.
- (3)
- A quantitative index of coupling between the mining rock mass and the fiber is proposed: the coupling coefficient. The coupling coefficient of 0.65 is taken as the boundary between the fractured zone and the unbroken area of the mining overburden, that is, the upper limit of the development height of the water-conducted fractured zone.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Qian, M.G. Strata Control and Sustainable Coal Mining; China University of Mining and Technology Press: Xuzhou, China, 2011. [Google Scholar]
- Qian, M. Technological system and green mining concept. Coal Sci. Technol. Mag. 2003, 4, 1–3. [Google Scholar]
- Chai, J.; Du, W.; Yuan, Q.; Zhang, D. Analysis of test method for physical model test of mining based on optical fiber sensing technology detection. Opt. Fiber Technol. 2018, 48, 84–94. [Google Scholar] [CrossRef]
- Liu, Y.; Li, W.; He, J.; Liu, S.; Cai, L.; Cheng, G. Application of Brillouin optical time domain reflectometry to dynamic monitoring of overburden deformation and failure caused by underground mining. Int. J. Rock Mech. Min. Sci. 2018, 106, 133–143. [Google Scholar] [CrossRef]
- Zhu, L.; Jialin, X.; Jinfeng, J.; Weibing, Z.; Jingmin, X. The effects of the rotational speed of voussoir beam structures formed by key strata on the ground pressure of stopes. Int. J. Rock Mech. Min. Sci. 2018, 108, 67–79. [Google Scholar]
- Wang, F.; Zhou, D.; Xu, Q.; Qiang, C.; Guo, C. Mathematical model of rock stress under abrasive slurry jet impact based on contact mechanics. Int. J. Rock Mech. Min. Sci. 2018, 107, 1–8. [Google Scholar] [CrossRef]
- Palchik, V. Bulking factors and extents of caved zones in weathered overburden of shallow abandoned underground workings. Int. J. Rock Mech. Min. Sci. 2015, 79, 227–240. [Google Scholar] [CrossRef]
- Palchik, V. Localization of mining-induced horizontal fractures along rock layer interfaces in overburden: Field measurements and prediction. Environ. Earth Sci. 2005, 48, 68–80. [Google Scholar] [CrossRef]
- Palchik, V. Experimental investigation of apertures of mining-induced horizontal fractures. Int. J. Rock Mech. Min. Sci. 2010, 47, 502–508. [Google Scholar] [CrossRef]
- Chen, R.H.; Bai, H.B.; Feng, M.M. Determination of the Height of Water Flowing Fractured Zone in Overburden Strata Above Fully-Mechanized Top-Coal Caving Face. J. Min. Saf. Eng. 2006, 23, 220–223. [Google Scholar]
- Monjezi, M.; Rezaei, M.; Majdi, A. An intelligent approach to predict unconfined compressive strength of rock surrounding access tunnels in long wall coal mining. Neural Comput. Appl. 2014, 24, 234–241. [Google Scholar]
- Wang, J.H.; Huang, L.T.; Li, S.B. Development of intelligent technology and equipment in fully-mechanized coal mining face. J. China Coal Soc. 2014, 39, 1418–1423. [Google Scholar]
- Gibson, J.T.; Duhon, G.L. Drilling Fluid Circulating and Monitoring System and Method. U.S. Patent 4295366, 20 August 1981. [Google Scholar]
- Jing-Cun, Y.U.; Zhi-Xin, L.; Shu-Cai, L.; Jin-Yun, T. Theoretical analysis of mine transient electromagnetic method and its application in detecting water burst structures in deep coal stope. J. China Coal Soc. 2007, 32, 818–821. [Google Scholar]
- Xiaodong, L. Application of High Density Resistivity Method to Engineering Geophysics. Geotech. Investig. Surv. 2001, 4, 64–66. [Google Scholar]
- Wang, S.H.; Yan, H.; Li, S. Design for transceiver array of temperature in stored grain monitored by acoustic CT. J. Shenyang Univ. Technol. 2014, 36, 561–566. [Google Scholar]
- McCann, D.M.; Jackson, P.D.; Fenning, P.J. Comparison of the seismic and ground probing radar methods in geological surveying. IEE Proc. F Commun. Radar Signal Process. 1988, 135, 380–391. [Google Scholar] [CrossRef]
- Tosi, D.; Molardi, C.; Blanc, W. Rayleigh scattering characterization of a low-loss MgO-based nanoparticle-doped optical fiber for distributed sensing. Opt. Laser Technol. 2021, 133, 106523. [Google Scholar] [CrossRef]
- Soto, M.A.; Bolognini, G.; Di Pasquale, F. Analysis of pulse modulation format in coded BOTDA sensors. Opt. Express 2010, 18, 14878–14892. [Google Scholar] [CrossRef]
- Kishida, K.; Li, C.H.; Nishiguchi, K. Pulse pre-pump method for cm-order spatial resolution of BOTDA. In Proceedings of the 17th International Conference on Optical Fibre Sensors, Bruges, Belgium, 23–27 May 2005. [Google Scholar]
- Hill, K.O.; Fujii, Y.; Johnson, D.C.; Kawasaki, B.S. Photosensitivity in optical fiber waveguides: Application to reflection filter fabrication. Appl. Phys. Lett. 1978, 32, 647–649. [Google Scholar] [CrossRef]
- Morey, W.W.; Meltz, G.; Glenn, W.H. Fiber Optic Bragg Grating Sensors. In Fiber Optic and Laser Sensors VII; SPIE: Bellighnam, WA, USA, 1990; Volume 1169, pp. 98–107. [Google Scholar]
- Fujita, Y.; Goh, K.N.; Chen, Y.Y.; Naono, K. Estimation of Production Rate Limits Using Agent-Based Simulation for Oil and Gas Plants Safety. In Advances in Social Simulation; Springer: Berlin/Heidelberg, Germany, 2014; pp. 83–94. [Google Scholar]
- Friebele, P. Fiber Bragg grating strain sensors present and future application in smart structures. Opt. Photonics News 1998, 9, 33–37. [Google Scholar] [CrossRef]
- Fu, H.; Cai, L. Application in the Coal Mine Fire Monitoring of Fiber Bragg Grating Sensor Technology. Chin. J. Sens. Actuators 2011, 24, 778–782. [Google Scholar]
- Chai, J.; Ouyang, Y.; Zhang, D. Theoretical analysis of the mechanical coupling between rock and optical fiber for distributed sensing of overlying strata deformation. J. Min. Strat. Control Eng. 2020, 2, 033038. [Google Scholar]
- She, J.; Hu, H.; Zhang, C. Experiment study on mechanical properties of interface between sensing optical fiber and sand. J. Eng. Geol. 2014, 22, 855–860. [Google Scholar]
- Li, B.; Zhang, D.; Chen, X. Testing method on performance of deformation coupling between distributed sensing fiber and soil. Geol. J. China Univ. 2017, 23, 633–639. [Google Scholar]
- Wu, H.; Zhu, H.; Zhou, G. Experimental study on distributed monitoring of soil shear displacement considering deformation compatibility. J. Eng. Geol. 2020, 28, 716–724. [Google Scholar]
- Tao, X.; Yang, T.; Chen, C.; Liu, H.; Yu, Q. Mining induced strata movement and roof behavior in underground coal mine. Geomech. Geophys. Geo-Energy Geo-Resour. 2015, 1, 79–89. [Google Scholar]
- Zhang, C.; Zhu, H.; Shi, B. Role of the interface between distributed fiber optic strain sensor and soil in ground deformation measurement. Sci. Rep. 2016, 6, 36469. [Google Scholar] [CrossRef]
- Du, W. Basic Experimental Study on Deformation Evolution Characteristics of Mining Overburden Based on Optical Fiber Sensing; Xi’an University of Science and Technology: Xi’an, China, 2020. [Google Scholar]
- Du, W.; Chai, J.; Zhang, D.; Lei, W. Application of optical fiber sensing technology in similar model test of Shallow-buried and thick coal seam mining. Measurement 2021, 181, 109559. [Google Scholar] [CrossRef]
- Du, W.; Chai, J.; Zhang, D.; Lei, W. The study of water-resistant key strata stability detected by optic fiber sensing in shallow-buried coal seam. Int. J. Rock Mech. Min. Sci. 2021, 141, 104604. [Google Scholar] [CrossRef]
Compressive Strength/MPa | Rock Classification | Roof Management Method | Height of Water-Conducted Fracture Zone/m |
---|---|---|---|
40–60 | limestone, sandy conglomerate, sandy shale, siliceous quartzite | Total collapse method | |
20~40 | sandy shale, argillaceous sandstone, shale | Total collapse method | |
<20 | weathered rock, argillaceous sandstone, quaternary loose layer | Total collapse method |
Coupling Coefficient/k | Coupling Relationship between Rock Mass and Optical Fiber 90 111 |
---|---|
1 0.9~1 | Full coupling contact Extra-strong coupling contact |
0.75~0.9 | Strong coupling contact |
0.5~0.75 | Moderate coupling contact |
0.1~0.5 | Weak coupling contact |
0 | Completely detached |
Advancing Position/m | 21 | 45 | 66 | 84 | 90 | 111 | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Model Height/cm | Strain /με | kj | Strain /με | kj | Strain /με | kj | Strain /με | kj | Strain /με | kj | Strain /με | kj | |
120 | 11 | 1 | 4 | 1 | 38 | 1 | 39 | 1 | 61 | 1 | 56 | 1 | |
100 | 24 | 1 | 13 | 1 | 130 | 0.86 | 1202 | 0.82 | 3002 | 0.7 | 4921 | 0.68 | |
70 | 19 | 1 | 62 | 0.8 | 1086 | 0.39 | 1727 | 0.59 | 1103 | 0.4 | 1902 | 0.72 | |
50 | −6 | 1 | 80 | 0.7 | 470 | 0 | 88 | 0 | 625 | 0.2 | 314 | 0.35 | |
20 | −34 | 0.9 | −424 | 0.8 | 1884 | 0 | 1086 | 0.24 | 607 | 0.3 | 174 | 0.37 |
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Du, W.; Chai, J.; Zhang, D.; Ouyang, Y.; Liu, Y. Study on Quantitative Characterization of Coupling Effect between Mining-Induced Coal-Rock Mass and Optical Fiber Sensing. Sensors 2022, 22, 5009. https://doi.org/10.3390/s22135009
Du W, Chai J, Zhang D, Ouyang Y, Liu Y. Study on Quantitative Characterization of Coupling Effect between Mining-Induced Coal-Rock Mass and Optical Fiber Sensing. Sensors. 2022; 22(13):5009. https://doi.org/10.3390/s22135009
Chicago/Turabian StyleDu, Wengang, Jing Chai, Dingding Zhang, Yibo Ouyang, and Yongliang Liu. 2022. "Study on Quantitative Characterization of Coupling Effect between Mining-Induced Coal-Rock Mass and Optical Fiber Sensing" Sensors 22, no. 13: 5009. https://doi.org/10.3390/s22135009
APA StyleDu, W., Chai, J., Zhang, D., Ouyang, Y., & Liu, Y. (2022). Study on Quantitative Characterization of Coupling Effect between Mining-Induced Coal-Rock Mass and Optical Fiber Sensing. Sensors, 22(13), 5009. https://doi.org/10.3390/s22135009