Characteristics and Precursor of Static and Dynamic Triggered Rockburst: Insight from Multifractal

Ren, Fangfang; Zhu, Chun; He, Manchao; Shang, Junlong; Feng, Guang-Liang; Bai, Jinwen

doi:10.1007/s00603-022-03173-3

Cited by 51 publications

(15 citation statements)

References 54 publications

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“…The experimental study shows that when the energy released from the rock fracture is transmitted in the form of vibration waves, due to the heterogeneity of the stratum structure, the energy decays according to the multiplicative power relationship when it reaches the surface, that is, the energy reaching the surface is inversely related to the spatial distance of the seismic source, and the decayed energy is (Zhu et al, 2022).…”

Section: Analysis Of Ground Vibration Damage Effects Induced By Minin...mentioning

confidence: 99%

“…Mining-induced seismicity is a dynamic phenomenon induced by mining activities and is felt within the mining area. Its essence is the violent release of elastic deformation energy of rock mass, which often induces secondary dynamic disasters (Wang et al, 2022;Jiang et al, 2013;Jiang et al, 2014;Zhu et al, 2022). There are many reasons for mining-induced seismicity in the process of underground mining.…”

Section: Introductionmentioning

confidence: 99%

“…A large number of research studies have been conducted around the topic of mining-induced seismicity, mainly focusing on mininginduced seismicity mechanism and type classification (Jan et al, 2018;Liu et al, 2020;Lurka, 2021;Dou et al, 2021;Zhu et al, 2022), mining-induced seismicity induced hazard types and prediction (Grzegorz et al, 2020;Ma et al, 2018;RUSEK, 2017), mininginduced seismicity induced underground rock burst (Lu et al, 2021;, gas outburst (Xue et al, 2023;Ye et al, 2023), water invasion (Zhang et al, 2023;Hou et al, 2023), and surface building vibration damage prevention and control (Zhu et al, 2021;Xue et al, 2023). Wang et al (2019) analyzed the mining-induced seismicity activity patterns in different mining stages of coal mines based on the distribution characteristics of microseismic events and obtained the types of surrounding rock damage as tensile damage and shear damage.…”

Section: Introductionmentioning

confidence: 99%

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Prediction of mining-induced seismicity and damage assessment of induced surface buildings in thick and hard key stratum working face: a case study of Liuhuanggou coal mine in China

Wang,

Zhu,

Zhang

et al. 2023

Front. Earth Sci.

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Thick and hard key stratum working faces are characterized by frequent mine tremors and significant ground tremors during mining which seriously threaten the safety production of the mine. With working face (4-5) 06 of Xinjiang Liuhuanggou Coal Mine as the engineering background, using field investigation, microseismic monitoring, and theoretical analysis, a mining-induced seismicity prediction method and damage assessment of surface buildings for thick and hard key stratum working faces is proposed, which is based on the evolution characteristics of overlying strata spatial structure and the motion state of the key stratum. The results of the study are as follows: 1) The movement law of overlying strata is the basis of mining-induced seismicity prediction for working faces. The magnitude of the risk of mining-induced seismicity occurrence is mainly related to the boundary conditions of the working face, the thickness of the key stratum, the distance from the coal seam to the key stratum, the height of the overlying strata spatial structure, and the fracture step of the key stratum. 2) The mining-induced seismicity energy contains the original accumulation elastic energy of the key stratum, the transfer elastic energy of low rock strata, and the accumulation elastic energy of gravity work. Based on this, a mechanical model of surface building damage induced by the release of mining-induced seismicity energy was established. A ground vibration damage boundary and vibration induction boundary under the action of strong mining-induced seismicity were proposed, and the service life of buildings when they reach the critical damage value under the action of frequent mining-induced seismicity was obtained. 3) The temporal and spatial distribution law of mining-induced seismicity activities in thick and hard key stratum working faces was revealed. According to the results of micro-seismic monitoring, the “zonality” characteristics of the time series and the “transition” law of spatial distribution of mining-induced seismicity verified the reliability of the mining-induced seismicity prediction method. The research results provide a theoretical basis for predicting mining-induced seismicity and assessing the risk of induced disasters during the mining process of thick and hard key stratum working faces, and can provide technical support for mining-induced seismicity prevention and control and safety production in mines with similar conditions.

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Section: Analysis Of Ground Vibration Damage Effects Induced By Minin...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Prediction of mining-induced seismicity and damage assessment of induced surface buildings in thick and hard key stratum working face: a case study of Liuhuanggou coal mine in China

Wang,

Zhu,

Zhang

et al. 2023

Front. Earth Sci.

Self Cite

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“…In the field of engineering practice and research, ensuring mine safety and accurately predicting the timing of slope damage occurrence often involves the establishment of a numerical model for the slope's geotechnical body. This approach allows for the simulation of the progressive collapse process of the slope, aiding in the enhancement of safety measures (Du and Song, 2022;Bao et al, 2023;Du et al, 2023;Ren et al, 2023;Song and Du, 2023). Simultaneously, to preserve slope stability, the placement of anchors within the slope body is frequently implemented, thereby reinforcing slope stability through the enhancement of anchor performance (Wang Q. et al, 2022;Li et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Detection and evolution of disaster sources in high slopes of open-pit mines based on time-lapse high-density electricity method

Sen,

Zihao

2023

Front. Earth Sci.

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High and steep slopes in open pit mines used for ore production require careful monitoring to ensure stability and safeguard lives, property, and social welfare. Understanding the evolutionary characteristics of hazard sources within these slopes is crucial for effective slope management. This article presents a novel approach to identify the evolution of hazard sources within slopes by utilizing the derivative of normalized inversion data versus time as a characteristic feature. To analyze the evolution of hazard sources, raw apparent resistivity data collected at different times are processed using smoothing and wavelet denoising algorithms to reduce noise. Geological constraints are then applied to the collected data through the parametric region method. The least squares method is employed for independent inversion, and the inversion results are standardized. Subsequently, the standardized inversion results are used to derive the derivative of resistivity versus time equation, which reveals the evolution of hazard sources within the slope. A case study is conducted on a large open pit rocky slope to analyze the effectiveness of the proposed approach. The results demonstrate the successful reduction of noise through the smoothing and wavelet threshold denoising algorithms, effectively suppressing interference caused by acquisition equipment and environmental electromagnetic noise. The application of the parametric region method with geological constraints highlights the spatial and temporal evolution characteristics of hazard sources within the slope. The findings indicate varying degrees of evolution of hazard sources within the slope, with significant changes observed mainly in the shallow part influenced by water erosion and blasting vibration. Areas with lithological stability show minimal changes, while original hazard source areas have evolved to different extents, distinguishable based on the size and sparsity of contour values. By combining inversion data analysis, noise reduction techniques, and geological constraints, the proposed approach provides valuable insights into the evolution of hazard sources within slopes. This information can aid in the development of effective slope management strategies in open pit mines, contributing to enhanced safety and protection of valuable assets.

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“…Qi Yanjun [4] found that non-pure static load failure modes could produce block ejection and that the ejection velocity was higher under dynamic load when simulating roadway rock bursts using a similar lithologic simulation. Duan Kang [5][6][7][8] studied fragment ejection during the experimental process of granite, red sandstone, marble, and other rocks. Si Xuefeng [9] simulated the process of rock burst generation during driving through experiments and found that particle ejection occurred first during rock failure, with the stress level of particle ejection being lower than that of rock burst.…”

Section: Introductionmentioning

confidence: 99%

A Study on Disasters Induced by Head-On Ejection in High-Speed Driving under the Influence of Roof Drainage

Cheng

Zhang³

et al. 2023

Sustainability

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During the gob-side entry driving of the Jurassic coal seam in Western China, ejection disasters occur under the influence of roof drainage, which rarely appear in the eastern mining area. To address this problem, a method combining theoretical analysis, numerical simulation, and field monitoring was used to study the disaster induced by head-on ejection during speedy driving under the influence of roof drainage in the context of gob-side entry driving of the 2202 auxiliary haulage roadway in a mine. A calculation model for the critical energy conditions for disasters induced by head-on ejection was established. The relationships between the driving velocity and the dynamic and static loads on the driving face and the disasters induced by ejection were clarified under the influence of roof drainage. The results indicate that the energy threshold for ejection-induced disaster is 12.23 kJ, and the elastic energy of the driving face induced only by static load fails to reach the energy threshold. When the driving velocity exceeds 5 m/d, microseismic activity in front of the driving face increases in a stepwise manner, and the influence of dynamic load intensifies. The superposition of accumulated elastic energy induced by static load and the energy transmitted by microearthquake to the driving face exceeds the energy threshold, resulting in the risk of ejection-induced disaster. Based on this, measures such as microseismic monitoring in front of the driving face, advanced pulverized coal monitoring, driving speed adjustment, and advanced pressure relief of large-diameter boreholes are adopted to ensure safe driving.

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Characteristics and Precursor of Static and Dynamic Triggered Rockburst: Insight from Multifractal

Cited by 51 publications

References 54 publications

Prediction of mining-induced seismicity and damage assessment of induced surface buildings in thick and hard key stratum working face: a case study of Liuhuanggou coal mine in China

Prediction of mining-induced seismicity and damage assessment of induced surface buildings in thick and hard key stratum working face: a case study of Liuhuanggou coal mine in China

Detection and evolution of disaster sources in high slopes of open-pit mines based on time-lapse high-density electricity method

A Study on Disasters Induced by Head-On Ejection in High-Speed Driving under the Influence of Roof Drainage

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