Research on Section Coal Pillar Deformation Prediction Based on Fiber Optic Sensing Monitoring and Machine Learning Algorithms DOI Creative Commons
Dingding Zhang, Yu Wang, Jianfeng Yang

и другие.

Applied Sciences, Год журнала: 2024, Номер 14(20), С. 9347 - 9347

Опубликована: Окт. 14, 2024

The mining face under the close coal seam group is affected by superposition of concentrated stress overlying residual diagonally intersecting pillar and stress, which can easily cause instability damage section pillars during process back to downward face. Additionally, traditional methods monitoring such as numerical simulation, drilling peeping, acoustic emission fail realize real-time accurate deformation internal pillars. introduction drill-hole-implanted fiber-optic grating method for whole area inside pillar, solves short board problem monitoring. However, disturbed external environment, especially sensitive background noise complex underground environment. Therefore, taking live chicken rabbit well Shaanxi Daliuta Coal Mine engineering background, ensemble empirical modal decomposition (EEMD) introduced primary reduction signal reconstruction threshold determination (DE) algorithm, then singular matrix (SVD) secondary reduction. Finally, a machine learning algorithm combined with prediction fiber strain signals in zone, DBO-LSTM-BP constructed model. experimental results demonstrate that compared other two models, SNR EEMD-DE-SVD-DBO-LSTM-BP model improved 0.8–2.3 dB on average, accuracy range 88–99%, realizes over-advanced state column section.

Язык: Английский

Research and applications of the cross-fusion mechanism of high gas thick coal seam influenced by dip angle DOI Creative Commons
Pengxiang Zhao,

Zechen Chang,

Shugang Li

и другие.

International Journal of Mining Science and Technology, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

3

Study on the failure mechanism of overlying strata under hydraulic fracturing in coal seams DOI
Shi-da Xu, Lei Han,

Xingdong Zhao

и другие.

Journal of Applied Geophysics, Год журнала: 2025, Номер unknown, С. 105725 - 105725

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Dangerous Area Evolution and Coal Spontaneous Combustion Prevention Method Induced by Air Leakage in Goaf of Ultra-Long Working Face DOI
Ma Li, Wenjun Zhang, Qingshan Zhao

и другие.

Combustion Science and Technology, Год журнала: 2025, Номер unknown, С. 1 - 21

Опубликована: Янв. 4, 2025

Coal spontaneous combustion in goaf seriously affects the safety of mine production, and air leakage is one prerequisites for coal combustion. Taking ultra-long working face with a length 410 m as an example, due to insufficient compaction degree goaf, high development large-scale cracks, large flow pressure difference between intake return air, law not clear, risk broken residual increases. Based on physical mechanical parameters rock, this paper studies plastic failure fracture under various stress disturbances faces. The laws gas migration was studied by means field test numerical simulation. theory coal-oxygen composite dangerous areas different mining sequence evolution were determined. distribution danger zone comprehensive fire prevention extinguishing technology nitrogen injection inerting, plugging reduction applied demonstration, application effect verified. research results show that range overlying strata presents "saddle shape." permeability porosity increase gradually from middle surrounding direction, showing "O-ring" distribution. main channels are concentrated at tunnel corner 160–200 face. sinks located distance 20–80 along dip direction face, respectively. average 268 m3/min 153 m3/min, maximum width during dynamic advancement 107 m. Through techniques such inerting filling high-molecular-weight gel sealing reduction, control faces sequences corresponding engineering backgrounds effectively ensured.

Язык: Английский

Процитировано

0

Igneous Rock Occurrence Prediction Based on Seismic Information Inversion and Its Influence Analysis During Coal Mining: A Case Study in Huaibei Coalfield DOI Creative Commons
Juanjuan Li, Fanjia Li, Yanan Fan

и другие.

Applied Sciences, Год журнала: 2025, Номер 15(4), С. 2110 - 2110

Опубликована: Фев. 17, 2025

Overlying hard and thick igneous rocks pose numerous potential safety hazards during the exploitation of coal resources. Identifying spatial distribution analyzing their impact on mining are a primary research concern. In this study, mine was investigated in depth. Initially, based seismic information, authors predicted occurrence conditions measure strata. Subsequently, two models were developed via UDEC software4.00: one with layers other without. Using simulation results, change law stress, roof abscission layer, strata subsidence overburden face advancement analyzed. Through comparison hazard-causing mechanism intrusion discussed. Consequently, is crucial for predicting hazards, inversion method can be considered an effective tool evaluating overlying

Язык: Английский

Процитировано

0

Investigating the Evolution Law and Fracture Mechanism of Overlying Coal-Bearing Strata Caused by Shallow Multi-Seam Mining in a Gully Area DOI Creative Commons
Xiaoshen Xie, Enke Hou,

Bingchao Zhao

и другие.

Applied Sciences, Год журнала: 2025, Номер 15(5), С. 2649 - 2649

Опубликована: Март 1, 2025

Compared with single coal seam mining, the stratum damage induced by shallow multi-seam mining is more severe and poses a risk of mine disasters that threaten safety personnel. In order to reveal characteristics mechanism strata damage, in this paper, field measurement, numerical simulation mechanical analysis are used study development dynamic evolution laws overburden explain water-conducting fracture zone (WCFZ) surface cracks. The height WCFZ exceeds 31.68, which higher than empirical value area. There self-healing activation for fissures related hinge rotation deflection inclined structure. However, maximum subsidence coefficient crack angle does not alter, but complexity activity increases. law closely breaking key strata, while controlled form block instability topography. addition, horizontal staggered model conductive reducing constructed, method has been proposed lessen landslides brought on

Язык: Английский

Процитировано

0

Field and numerical investigations on linkage failure of the main roof and pumpable supports in the pre-excavation recovery room DOI

Dong Zhang,

Jianbiao Bai,

Yonghong Guo

и другие.

Engineering Geology, Год журнала: 2025, Номер unknown, С. 108075 - 108075

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Research on Section Coal Pillar Deformation Prediction Based on Fiber Optic Sensing Monitoring and Machine Learning Algorithms DOI Creative Commons
Dingding Zhang, Yu Wang, Jianfeng Yang

и другие.

Applied Sciences, Год журнала: 2024, Номер 14(20), С. 9347 - 9347

Опубликована: Окт. 14, 2024

The mining face under the close coal seam group is affected by superposition of concentrated stress overlying residual diagonally intersecting pillar and stress, which can easily cause instability damage section pillars during process back to downward face. Additionally, traditional methods monitoring such as numerical simulation, drilling peeping, acoustic emission fail realize real-time accurate deformation internal pillars. introduction drill-hole-implanted fiber-optic grating method for whole area inside pillar, solves short board problem monitoring. However, disturbed external environment, especially sensitive background noise complex underground environment. Therefore, taking live chicken rabbit well Shaanxi Daliuta Coal Mine engineering background, ensemble empirical modal decomposition (EEMD) introduced primary reduction signal reconstruction threshold determination (DE) algorithm, then singular matrix (SVD) secondary reduction. Finally, a machine learning algorithm combined with prediction fiber strain signals in zone, DBO-LSTM-BP constructed model. experimental results demonstrate that compared other two models, SNR EEMD-DE-SVD-DBO-LSTM-BP model improved 0.8–2.3 dB on average, accuracy range 88–99%, realizes over-advanced state column section.

Язык: Английский

Процитировано

0