A5056694417- Coal Properties and Utilization
- Rock Mechanics and Modeling
- Landslides and related hazards
- Hydrocarbon exploration and reservoir analysis
- Fire Detection and Safety Systems
- Air Quality Monitoring and Forecasting
- Erosion and Abrasive Machining
- Atmospheric and Environmental Gas Dynamics
- Tunneling and Rock Mechanics
- Traffic Prediction and Management Techniques
- Advanced Surface Polishing Techniques
- Groundwater flow and contamination studies
- Hydraulic Fracturing and Reservoir Analysis
- Anomaly Detection Techniques and Applications
- High-Velocity Impact and Material Behavior
- Methane Hydrates and Related Phenomena
- Geoscience and Mining Technology
- Geomechanics and Mining Engineering
- Occupational Health and Safety Research
- Infrastructure Maintenance and Monitoring
- Yersinia bacterium, plague, ectoparasites research
- Mineral Processing and Grinding
- Earthquake Detection and Analysis
- Geophysical Methods and Applications
Henan Polytechnic University
2021-2025
Compared to continuous abrasive jet and high-pressure water jet, pulsed can intermittently generate high hammer pressure is commonly used in applications such as coal mining petroleum engineering for rock-breaking purposes. Pulse frequency one of the key factors affecting evolution acceleration impact energy, thereby influencing system's energy transfer efficiency cutting ability. The equation motion established based on two-phase flow theory, variation law velocity with pulse solved....
To investigate the rock-breaking characteristics of advanced premixed abrasive water jet, experiments jet eroding granite were carried out. The micro-failure morphology erosion pits was observed and analyzed by CT (Computerized Tomography) SEM (Scanning Electron Microscope). results show that difference in effect caused different rock breaking pressures is due to impact kinetic energy. higher pressure, energy particles, enhanced. types harder abrasives produce greater cutting force on...
Aiming at the problem of insufficient accuracy caused by mining spatiotemporal features in process unsafe behavior and danger identification construction personnel, traditional two-stream convolution model is improved, a dangerous recognition based on Faster R-CNN-LSTM proposed. In this model, R-CNN network connected parallel with LSTM network. The used as spatial flow, human motion posture divided into static dynamic to extract anchor point features, respectively. fusion two output flow. An...
As coal mine production enters the deep mining stage, impact of and rock dynamic hazards is becoming more significant. And containing initial damage such as fractures are susceptible to destabilization by disturbance. So, this paper takes macro-crack with different inclination angles research object uses RMT-150B mechanics system carry out uniaxial loading rupture tests on specimens. On basis, changes in infrared radiation surface observed using an thermal imaging camera, it analyzed studied...
In order to study the precursor information of infrared radiation temperature coal containing macro-cracks during load bearing damage, monitoring tests instability damage under different crack inclination angles are designed. Based on critical slowing down theory, variance and autocorrelation coefficients series calculated reflect precursors provide a theoretical basis for early warning rock dynamic hazards. The results show that sequences pre-cracked coals have effect. coefficient MIRT...
Soft coal is characterized by low strength and weak bonds, which play a key role in the occurrence development of dynamic disasters. A more thorough understanding failure mechanics infrared radiation characteristics soft at various moisture contents needed. In this study, experiments were conducted for contents. The results indicate that content affects compressive elastic modulus with being highest moderate. Moisture has substantial influence on compressed samples. coals high show smaller...
To further improve the accuracy of recurrent neural network in predicting gas concentration upper corner mine tunnel, this paper proposes a method to construct prediction model based on multiple sequence long and short memory network, considering spatial correlation between return airway corner. The reliability construction is improved by using white noise test smoothness verify interpretability data constructing supervised learning type for training testing means set division windowing....
The quality and efficiency of coalbed methane (CBM) drainage are critical for the safety production coal mining enterprises in China. Air leakage should be prevented during CBM because it can reduce concentration induce produce accidents such as seam spontaneous combustion. However, existing theoretical models do not consider air effect. It is necessary to pay attention that exists penetrating-strata boreholes risks. This study sets up a new gas-solid coupling model which effect taken into...
There has been extensive research on the partial differential equations governing theory of gas flow in coal mines. However, traditional Proper Orthogonal Decomposition–Radial Basis Function (POD-RBF) reduced-order algorithm requires significant computational resources and is inefficient when calculating high-dimensional data for mine pressure fields. To achieve rapid computation extraction fields, this paper proposes a model reduction method based deep neural networks (DNNs) convolutional...