A5089182569- Rock Mechanics and Modeling
- Earthquake Detection and Analysis
- Seismology and Earthquake Studies
- Geotechnical and Geomechanical Engineering
- Landslides and related hazards
- Geomechanics and Mining Engineering
- Geoscience and Mining Technology
- Tailings Management and Properties
- Mineral Processing and Grinding
- Drilling and Well Engineering
- Geotechnical Engineering and Underground Structures
- Seismic Imaging and Inversion Techniques
- earthquake and tectonic studies
- Structural Response to Dynamic Loads
- Concrete Properties and Behavior
- Seismic Waves and Analysis
- Grouting, Rheology, and Soil Mechanics
- Geophysical Methods and Applications
China University of Mining and Technology
2021-2024
Institute of Disaster Prevention
2023-2024
Shandong University of Science and Technology
2018-2020
With the deep development of underground rock engineering, threat burst disasters is increasing. At present, identification and prediction mostly rely on experience field staff to determine critical value trend, there a lack efficient intelligent methods for utilization massive data. Therefore, this paper constructs signal recognition model based learning solve above problems. In paper, acoustic emission (AE) electromagnetic radiation (EMR) data site are first marked input into...
Effective monitoring and early warning methods are crucial for enhancing safety sustainability in deep coal resource extraction, particularly mitigating rock burst disasters triggered by abrupt failure under high–ground–stress conditions. This paper presents the results of experimental investigations that involved conventional uniaxial direct graded mechanical tests on granite concurrently collected acoustic emission (AE) electromagnetic radiation (EMR) signals. study focused temporal...
Microseismic source location is crucial for the early warning of rockburst risks. However, conventional methods face challenges in terms microseismic wave velocity and arrival time accuracy. Intelligent techniques, such as full convolutional neural network (FCNN), can capture spatial information but struggle with complex sequence. Combining FCNN long short-term memory (LSTM) enables better time-series signal classification by integrating multi-scale therefore suitable waveform location. The...
Intelligent early warning of rockburst hazards is critical for ensuring safe and efficient coal mining operations. The utilization monitoring techniques, such as microseismic (MS), acoustic emission (AE), electromagnetic radiation (EMR), has become standard practice dynamic in environments. However, the inherent complexity unpredictability signals generated by these systems present significant challenges. While application deep-learning methods gained traction field coal-rock disaster...
It is of great significance to study the reasonable position mining roadway under strip coal pillar for increasing stability roadway, reducing waste resources, and realizing safety production working face. Based on research background face in Jinqiao Coal Mine Jining, Shandong Province, through theoretical analysis, similar material simulation experiment, numerical stress distribution law, plastic failure range, rationality setting different width sections are systematically studied....
Aiming at the backfill with prefabricated fracture under seepage‐stress coupling, concepts of macrodamage, loaded mesodamage, seepage and total damage were proposed. Based on macroscopic statistical model, coupling effect seepage, stress, initial was considered comprehensively model established. The mechanical properties different water pressures confining tested rationality verified. research shows that are determined by pressure, load, fracture, effect. Fracture have significant effects...
Different coal failure impact types exhibit different damage statuses and modes, resulting in distinct signal characteristics of infrared radiation (IR) acoustic emission (AE). This paper combines IR AE monitoring methods to innovatively establish precursor warning models obtains the for types. research shows that there is a good correspondence between timing spatial distribution As tendency increases, intensity signals increases with failure, positioning points high-temperature areas tend...
Repeated saturation and drying of acidic mine water have a major influence on the mechanical properties long-term stability monitoring artificial dams (concrete walls) in underground reservoirs. A uniaxial compression acoustic emission (AE) test was conducted to quantify evolution characteristics micro cracks concrete loaded by RA-AF values. In addition, macro during sample failure were quantitatively analyzed fractal dimension theory Image-Pro software. Finally, damage constitutive model...