Abstract
Observations of building structures in mining areas, reveal the occurrence of periodic and permanent excessive loading situations. These include ground deformations associated with the extraction of underground mineral deposits. In urban areas, these deformations significantly alter the operating conditions of building structures. For this reason, forecasts of ground transformation and analyses of possible changes in the technical condition of buildings on the ground surface are made in advance, even before mining is commenced. Taking into account previous in-house experience of the observed effects of mining impacts on building structures, an original method of monitoring changes in the condition of these structures has been developed. The aim of the monitoring is to record phenomena that change the operating conditions of the structures. In the developed method, measurements are made quasi-continuously using strain and deflection sensors mounted directly on structural elements. In the mining area affected by the mining operation being carried out in the years 2020 - 2022, and with a further one planned in the years 2023 - 2024, through the extraction of 14 coal parcels, three public utilities of special interest were monitored. The measurement results of deformation changes in the elements allow for an assessment of changes in the stress state of the structures, and the integration of sensors mounted on the structures into a wireless network fulfils the demands for maintaining public safety conditions in mining areas. It also contributes to the analysis of fatigue issues in masonry structures due to long-term multidirectional loads.
References
1 XiaO J., Zhang J.: Analysis and application of automatic deformation monitoring data for buildings and structures of mining area. Transactions of Nonferrous Metals Society of China, V.21, S. 3, 2011, p. 516-s522
2 Uchański Ł., Fotyga T.: Wykorzystanie systemów monitoringu strukturalnego dla potrzeb redukcji ryzyka wystąpienia możliwych awarii budowlanych na przykładzie prac prowadzonych podczas realizacji budowy Muzeum II Wojny Światowej w Gdańsku. Awarie Budowlane 2015, s. 927- 934
3 Florkowska L., Bryt-Nitarska I., Gawałkiewicz R., Kruczkowski J.: Monitoring and Assessing the Dynamics of Building Deformation Changes in Landslide Areas. Buildings 2020, 10(1), 3;
4 Guerra F., Haist T., Warsewa A., Hartlieb S., Osten W., Tarín C.: Precise building deformation measurement using holographic multipoint replication. Applied Optics, V. 59, I. 9, p. 2746-2753 (2020)
5 Perski Z, Hanssen R., Wójcik A., Wojciechowski T.: InSAR analyses of terrain deformation near the Wieliczka Salt Mine, Poland. Engineering Geology, 2009
6 Wang L., Deng K., Research on ground deformation monitoring method in mining areas using the probability integral model fusion D-InSAR, sub-band InSAR and offset-tracking. International Journal of Applied Earth Observation and Geoinformation, Volume 85, 2020Rikitianskaia, M. (2022). „The real ethernet”: The transnational history of global Wi-Fi connectivity. New Media & Society, 0(0). https://doi.org/10.1177/14614448221103533
7 Odumosu J.O., Adeleke O.O., Nnam V.C., Avoseh O.J., Ogundeji O.A.: Stereophotogrammetry for 2-D building deformation monitoring using Kalman Filter. Reports on Geodesy and Geoinformatics, 2020, Vol. 110, pp. 1–7Ting-Hua Yi,Hong-Nan Li,Ming Gu (2012); Recent research and applications of GPS-based monitoring technology for high-rise structures. https://doi.org/10.1002/stc.1501
8 Furst S.L., Doucet S., Vernant P., Champollion C., Carme J.-L.: Monitoring surface deformation of deep salt mining in Vauvert (France), combining InSAR and levelling data for multi-sources inversion. Solid Earth, 2020-77
9 Rikitianskaia, M. (2022). „The real ethernet”: The transnational history of global Wi-Fi connectivity. New Media & Society, 0(0). https://doi.org/10.1177/14614448221103533
10 Ting-Hua Yi,Hong-Nan Li,Ming Gu (2012); Recent research and applications of GPS-based monitoring technology for high-rise structures. https://doi.org/10.1002/stc.1501
11 Wang Shuo, Casey Rodgers, Guanghao Zhai, Thomas Matiki, Brian Walijski Amirali Nadżafi Wang Jingjing Yasutaka Narazaki, Vedhus Hoskere, Billie F. Spencer Jr. (2022); A graphics-based digital twin framework for computer vision-based post-earthquake structural inspection and evaluation using unmanned aerial vehicles. Journal of Infrastructure Intelligence and Resilience, Tom 1, Numer 1.
12 Chang-Su Shim, Ngoc-Son Dang, Sokanya Lon & Chi-Ho Jeon (2019); Development of a bridge maintenance system for prestressed concrete bridges using 3D digital twin model. Structure and Infrastructure Engineering, Volume 15, 2019 - Issue 10
13 Pilate Moyo, James M. W. Brownjohn (2001), Bridge health monitoring using wavelet analysis.Proceedings Volume 4317, https://doi.org/10.1117/12.429636
14 James M. W. Brownjohn, Pilate Moyo, Piotr Omenzetter, Sushanta Chakraboorty (2005); Converting signals to knowledge in structural health monitoring systems. Proceedings Volume 5852, https://doi.org/10.1117/12.621225
15 Lixin Wang, Shuoshuo Xu, Junling Qiu, Ke Wang, Enlin Ma, Chujun Li, Guo Chunxia (2020); Automatic Monitoring System in Underground Engineering Construction: Review and Prospect. Advances in Civil Engineering Volume 2020 (5); https://doi.org/10.1155/2020/3697253
16 Ting-Hua Yi, Ying Lei, Hua-Peng Chen, Xiao-Wei Ye, Fei Kang, Hao Wang (2014); Technology Developments in Structural Health Monitoring and Integrity Maintenance. The Scientific World Journal. https://doi.org/10.1155/2014/976927
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