Laboratory procedure of fiber optic measurement line control for rockburst hazard prediction

Rockburst hazard in deep-level mining is yet one of the most difficult problems in real-time prediction of seismic events: microseismic monitoring chiefly captures the dynamic stage of failure while nucleation of an unsafe condition may be accompanied by long-term accumulation of quasi-static strains. This article proposes an approved laboratory procedure of fiber optic measurement line control as a complimentary tool for microseismic deformation monitoring. The measurement line (single mode fiber G.652, 60 m) contains a local sensitive stretch in the form of a controllable macrobend where a reproducible reflectometry event (local increased losses) is captured. The control method was the optical time–domain reflectometry at the wavelengths of 1310 and 1550 nm. The input dynamic effect was set and controlled by a triaxial sensor, and the sensor data were used to normalize the levels and reproducibility of the impact series. Based on the results, the calibration scale is constructed for the sensitive stretch conditions, the repeatability of additional losses in re-installation of the line is estimated, and also it is shown that the influence of the impact series on the measurement line condition shows up in the sharp bend and is absent in the moderate bend. The scientific novelty of the research lies in the reproducible lab-scale procedure for measurement line condition control and in the set of diagnostic properties (coordinate of an event, additional losses at two wavelengths, difference of the losses and their pre-impact/post-impact change) suitable for the transfer to underground conditions and for the integration with the microseismic data. 

Keywords: rockburst hazard, rock bursts, deformation monitoring, fiber optic measurement line, optical time–domain reflectometry, macrobend, calibration scale, measurement repeatability, measurement line quality control, diagnostic properties.
For citation:

Konurin A. I., Orlov D. V. Laboratory procedure of fiber optic measurement line control for rockburst hazard prediction. MIAB. Mining Inf. Anal. Bull. 2026;(10):141-155. [In Russ]. DOI: 10.25018/0236_1493_2026_10_0_141.

Acknowledgements:

The study was supported by the Russian Science Foundation, Grant No. 25-27-00034.

Issue number: 10
Year: 2026
Page number: 141-155
ISBN: 0236-1493
UDK: 622.22
DOI: 10.25018/0236_1493_2026_10_0_141
Article receipt date: 17.03.2026
Date of review receipt: 07.05.2026
Date of the editorial board′s decision on the article′s publishing: 10.09.2026
About authors:

A.I. Konurin1, Cand. Sci. (Eng.), Senior Researcher, e-mail: konurin@misd.ru, ORCID ID: 0000-0003-3373-2382,
D.V. Orlov1, Graduate Student, Engineer, e-mail: dmiorl@gmail.com,
1 N.A. Chinakal Institute of Mining, Siberian Branch of the Russian Academy of Sciences, 630091, Novosibirsk, Russia.

 

For contacts:

A.I. Konurin, e-mail: konurin@misd.ru.

Bibliography:

1. He X.-Q., Zhou C., Song D.-Z., Li Z.-L., Cao A.-Y., He S.-Q., Khan M. Mechanism and monitoring and early warning technology for rockburst in coal mines. International Journal of Minerals, Metallurgy and Materials. 2021, vol. 28, pp. 1097—1111. DOI: 10.1007/s12613-021-2267-5.

2. Du K., Bi R., Khandelwal M., Li G., Zhou J. Occurrence mechanism and prevention technology of rockburst, coal bump and mine earthquake in deep mining. Geomechanics and Geophysics for Geo-Energy and Geo-Resources. 2024, vol. 10, article 98. DOI: 10.1007/s40948-024-00768-8.

3. Sidorov D. V., Potapchuk M. I., Sidlyar A. V., Kursakin G. A. Assessment of rockburst hazard in deep layer mining at the Nikolayevskoye deposit. Journal of Mining Institute. 2019, vol. 238, pp. 392—398. [In Russ]. DOI: 10.31897/PMI.2019.4.392.

4. Lomov M. A., Sidlyar A. V. Assessment of rockburst hazard factors at the Nikolayevskoye deposit using 3D modelling of seismoacoustic monitoring results. Problems of Subsoil Use. 2021, no. 1 (28), pp. 64—72. [In Russ]. DOI: 10.25635/2313-1586.2021.01.064.

5. Eremenko A. A., Mulev S. N., Shtirts V. A. Monitoring of geodynamic phenomena by the microseismic method during development of rockburst-hazardous deposits. Journal of Mining Sciences. 2022, no. 1, pp. 12—22. [In Russ]. DOI: 10.15372/FTPRPI20220102.

6. Zhuravleva O. G., Zhukova S. A. Studies of the spatial and temporal patterns of seismic activity development in the undermined rock mass at the Rasvumchorr mine. Russian Mining Industry Journal. 2024, no. 3, pp. 105—111. [In Russ]. DOI: 10.30686/1609-9192-2024-3-105-111.

7. Mu H., Song D., He X., Li Z., Su D., Xue Y. Regional local integrated rockburst monitoring and early warning for multi-seam mining. Journal of Geophysics and Engineering. 2021, vol. 18, no. 5, pp. 725—739. DOI: 10.1093/jge/gxab048.

8. Tang S., Wang J., Tang L., Ding S. Automatic early warning of rockbursts from microseismic events by learning the feature-augmented point cloud representation. Tunnelling and Underground Space Technology. 2024, vol. 147, article 105692. DOI: 10.1016/j.tust.2024.105692.

9. Razumov E. E., Prostov S. M., Shabanov E. A. Regional, local and current rockburst hazard forecast of coal seam sections based on seismic monitoring. Bulletin of the Tomsk Polytechnic University. Geo Assets Engineering. 2024, vol. 335, no. 8, pp. 174—186. [In Russ]. DOI: 10.18799/24131830/2024/8/4420.

10. Razumov E. E., Rukavishnikov G. D., Mulev S. N., Prostov S. M. Basic principles for building seismic monitoring systems in rockburst-hazardous coal seam mining. Gornyi Zhurnal. 2021, no. 1, pp. 8—12. [In Russ]. DOI: 10.17580/gzh.2021.01.02.

11. Dolgikh A. S., Senyuk V. V., Konovalov O. L. Creation of a geomechanical support system for underground mining during development of the Starobin deposit. Gornyi Zhurnal. 2018, no. 8, pp. 42—47. [In Russ]. DOI: 10.17580/gzh.2018.08.01.

12. Danilev S. M., Sekerina D. D., Danileva N. A. Localization of geomechanical process development areas in underground workings based on transformational-classification analysis of seismic survey data. Journal of Mining Institute. 2024, vol. 266, pp. 260—271. [In Russ].

13. Nosov V. V., Borovkov A. I., Artyushchenko A. P. Predicting rock bursts in rock mass blocks using acoustic emission. Resources. 2022, vol. 11, no. 10, article 87. DOI: 10.3390/resources11100087.

14. Zhang X., Zhu H., Jiang X., Broere W. Distributed fiber optic sensors for tunnel monitoring: a state-of-the-art review. Journal of Rock Mechanics and Geotechnical Engineering. 2024, vol. 16, no. 9, pp. 3841—3863. DOI: 10.1016/j.jrmge.2024.01.008.

15. Monsberger C. M., Bauer P., Buchmayer F., Lienhart W. Large-scale distributed fiber optic sensing network for short and long-term integrity monitoring of tunnel linings. Journal of Civil Structural Health Monitoring. 2022, vol. 12, pp. 1317—1327. DOI: 10.1007/s13349-022-00560-w.

16. Xie J., Qu Q., Zhu W., Wang X., Xu J., Ning S., Hou T., Luo X. Distributed strain monitoring of overburden delamination propagation at a deep longwall mine. International Journal of Rock Mechanics and Mining Sciences. 2023, vol. 171, article 105589. DOI: 10.1016/j.ijrmms.2023.105589.

17. Salazar Vásquez A., Rabaiotti C., Germanovich L. N., Puzrin A. M. Distributed fiber optics measurements of rock deformation and failure in triaxial tests. Journal of Geophysical Research: Solid Earth. 2022, vol. 127, e2022JB023997. DOI: 10.1029/2022JB023997.

18. Mekhtiev A. D., Yurchenko A. V., Kalytka V. A., Neshina E. G., Alkina A. D., Madi P. Sh. Fiber-optic long-base deformometer for monitoring deformations of open-pit slopes. Technical Physics Letters. 2022, vol. 48, no. 15. [In Russ]. DOI: 10.21883/PJTF.2022.15.53129.19200.

19. Liu H., Zhao T., Zhang M. OTDR development based on single-mode fiber fault detection. Sensors. 2025, vol. 25, article 4284. DOI: 10.3390/s25144284.

20. Di Y., Wang E., Li Z., Liu X., Huang T., Yao J. Comprehensive early warning method of microseismic, acoustic emission, and electromagnetic radiation signals of rock burst based on deep learning. International Journal of Rock Mechanics and Mining Sciences. 2023, vol. 170, article 105519. DOI: 10.1016/j.ijrmms.2023.105519.

21. Huang S., Meng X., Zhao G., Cheng X., Wang X., Xia K. Distributed fiber optic sensing for monitoring mining-induced overburden deformation. Coatings. 2025, vol. 15, article 1317. DOI: 10.3390/coatings15111317.

22. Mohd Arif N. A. A., Ehsan A. A. Sensitivity optimization of U-shaped fiber optics based on the Taguchi method. OSA Continuum. 2021, vol. 4, no. 7, pp. 2024—2035. DOI: 10.1364/OSAC.430129. 

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