Microseismic Response Characteristics Induced by Mining Activities: A Case Study
For deep coal mines, geological disturbances or mining activities can cause damage to coal and rock masses, easily inducing dynamic disasters such as rock bursts or coal and gas outbursts, which seriously threaten the safety production of coal mine. In this paper, first, the Liyazhuang Coal Mine int...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2021/9977589 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832548573061840896 |
|---|---|
| author | Xuesong Bai Zhi Tang Tao Zhao Xiaoyang Cheng Kai Chen |
| author_facet | Xuesong Bai Zhi Tang Tao Zhao Xiaoyang Cheng Kai Chen |
| author_sort | Xuesong Bai |
| collection | DOAJ |
| description | For deep coal mines, geological disturbances or mining activities can cause damage to coal and rock masses, easily inducing dynamic disasters such as rock bursts or coal and gas outbursts, which seriously threaten the safety production of coal mine. In this paper, first, the Liyazhuang Coal Mine introduced the SOS MS (Sensor Observation Service Microseismic) monitoring system from the Polish Research Institute and verified the accuracy of its positioning. Then, to study the characteristics of MS signals induced by different mining activities, based on the field monitoring results, the waveform and frequency spectrum characteristics of MS signals at different energy levels induced by different mining activities are analyzed, and the energy levels of MS signals caused by different mining activities are classified. Studies have shown that there are large differences in the waveform and spectral characteristics of MS signals at different energy levels. High-level energy seismic signals are characterized by large amplitudes, low frequencies, relatively concentrated distribution, long vibration duration, and slow attenuation. In addition, the relationship between mining activities and MS events is also statistically analyzed based on the spatial and temporal distribution of MS events with the advancement of working face, and the results show that the increase of vibration frequency and energy can be precursor information for roof pressure. With the advance of the working face, the MS energy has the characteristic of periodic distribution, which is consistent with the periodic weighting revealed by the working resistance of the support. This study provides a reference for further revealing the energy release mechanism of rock burst. |
| format | Article |
| id | doaj-art-dba35962fcab416f9f6f111dc5a1a069 |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-dba35962fcab416f9f6f111dc5a1a0692025-02-03T06:13:45ZengWileyAdvances in Civil Engineering1687-80861687-80942021-01-01202110.1155/2021/99775899977589Microseismic Response Characteristics Induced by Mining Activities: A Case StudyXuesong Bai0Zhi Tang1Tao Zhao2Xiaoyang Cheng3Kai Chen4College of Safety Science and Engineering, Liaoning Technical University, Liaoning 123000, ChinaCollege of Safety Science and Engineering, Liaoning Technical University, Liaoning 123000, ChinaCollege of Safety Science and Engineering, Liaoning Technical University, Liaoning 123000, ChinaState Key Laboratory of the Gas Disaster Detecting, Preventing and Emergency Controlling, Chongqing 400037, ChinaCollege of Safety Science and Engineering, Liaoning Technical University, Liaoning 123000, ChinaFor deep coal mines, geological disturbances or mining activities can cause damage to coal and rock masses, easily inducing dynamic disasters such as rock bursts or coal and gas outbursts, which seriously threaten the safety production of coal mine. In this paper, first, the Liyazhuang Coal Mine introduced the SOS MS (Sensor Observation Service Microseismic) monitoring system from the Polish Research Institute and verified the accuracy of its positioning. Then, to study the characteristics of MS signals induced by different mining activities, based on the field monitoring results, the waveform and frequency spectrum characteristics of MS signals at different energy levels induced by different mining activities are analyzed, and the energy levels of MS signals caused by different mining activities are classified. Studies have shown that there are large differences in the waveform and spectral characteristics of MS signals at different energy levels. High-level energy seismic signals are characterized by large amplitudes, low frequencies, relatively concentrated distribution, long vibration duration, and slow attenuation. In addition, the relationship between mining activities and MS events is also statistically analyzed based on the spatial and temporal distribution of MS events with the advancement of working face, and the results show that the increase of vibration frequency and energy can be precursor information for roof pressure. With the advance of the working face, the MS energy has the characteristic of periodic distribution, which is consistent with the periodic weighting revealed by the working resistance of the support. This study provides a reference for further revealing the energy release mechanism of rock burst.http://dx.doi.org/10.1155/2021/9977589 |
| spellingShingle | Xuesong Bai Zhi Tang Tao Zhao Xiaoyang Cheng Kai Chen Microseismic Response Characteristics Induced by Mining Activities: A Case Study Advances in Civil Engineering |
| title | Microseismic Response Characteristics Induced by Mining Activities: A Case Study |
| title_full | Microseismic Response Characteristics Induced by Mining Activities: A Case Study |
| title_fullStr | Microseismic Response Characteristics Induced by Mining Activities: A Case Study |
| title_full_unstemmed | Microseismic Response Characteristics Induced by Mining Activities: A Case Study |
| title_short | Microseismic Response Characteristics Induced by Mining Activities: A Case Study |
| title_sort | microseismic response characteristics induced by mining activities a case study |
| url | http://dx.doi.org/10.1155/2021/9977589 |
| work_keys_str_mv | AT xuesongbai microseismicresponsecharacteristicsinducedbyminingactivitiesacasestudy AT zhitang microseismicresponsecharacteristicsinducedbyminingactivitiesacasestudy AT taozhao microseismicresponsecharacteristicsinducedbyminingactivitiesacasestudy AT xiaoyangcheng microseismicresponsecharacteristicsinducedbyminingactivitiesacasestudy AT kaichen microseismicresponsecharacteristicsinducedbyminingactivitiesacasestudy |