Results 71 to 80 of about 2,608,139 (189)

Application of High‐Pressure Water Jet Reaming and Permeability Increasing Technology in Outburst Coal Seam Mining

Advances in Civil Engineering, Volume 2025, Issue 1, 2025.
High‐pressure water jet reaming and permeability enhancement technology is a widely used technology in the field of coal mining, especially in the mining of low‐permeability soft outburst coal seams. This technology can effectively improve the permeability of coal seams and reduce the safety risk in the mining process.
Feng Wang, Mohamed Moafak Arbili
wiley   +1 more source

Intelligent Decision Supporting System for Precursors of Rock Instability: The Application of Early Warning of Rock Shear‐Slip Instability

International Journal of Energy Research, Volume 2025, Issue 1, 2025.
Underground mining is developing towards deep and large scales; the safety production situation of mining becomes more and more severe. The difficulty of early warning of rock mass instability has increased sharply. The rock shear‐slip test is carried out first, crack propagation features are investigated.
Xun You, Yunmin Wang, Xiangxin Liu, Kui Zhao, Bin Gong, Xianxian Liu, Meilu Yu   +6 more
wiley   +1 more source

Mechanism and Predicting Theory-Based of Rockburst Evolution [PDF]

, 2017
Mechanism and predicting of rockburst is complicated, and there is no mechanism and prediction model to explain the occurrence of rockburst satisfactorily. In this chapter, the mechanism of rockburst stress-energy evolution is obtained by analyzing the pre-peak stage of rock compressive deformation.
openaire   +1 more source

Performance Evaluation of Hybrid PSO-BPNN-AdaBoost and PSO-BPNN-XGBoost Models for Rockburst Prediction with Imbalanced Datasets

Applied Sciences
The rockburst hazard is a primary geological disaster endangering the environment in underground engineering. Due to the complexity of the rockburst mechanism, traditional methods are insufficient to predict the rockburst hazard objectively, especially ...
Shujian Li, Pengpeng Lu, Weizhang Liang, Ying Chen, Qi Da   +4 more
semanticscholar   +1 more source

Analysis of the Impact of Geological Factors on the Distribution of Abutment Pressure in Deep‐Buried Longwall Faces

Geofluids, Volume 2025, Issue 1, 2025.
To investigate the control factors of mine disasters induced by high ground pressure, this paper takes a longwall face of Pingdingshan No. 10 coal mine as the engineering background. By employing the analytical model and numerical simulation methods, this study quantified the movement characteristics of the hard roof strata and the evolution of mining ...
Man Wang, Huidong Zhang, Songtao Ji, Wending Zhang, Zehua Niu, Rui Min, Huice Jiao, Yong Liu, Jianwei Cheng   +8 more
wiley   +1 more source

Rockburst multi-factor coupling prediction and quantitative analysis of influencing Factors’ SHAP values based on TPE-FDM-XGBoost model

Ain Shams Engineering Journal
Accurately predicting rockburst and clarifying its influencing factors is a crucial support for ensuring the safe and efficient construction of underground projects, deepening the theory of geological disasters, and promoting engineering technology ...
Chao Peng, Wanrong Liu, Miao Liu, Xiao Wang, Xiaotong Du   +4 more
doaj   +1 more source

Supervised and unsupervised general framework for rockburst risk prediction based on feature contrast of long-term and short-term microseismic data

Geomechanics and Geophysics for Geo-Energy and Geo-Resources
Short-term rockburst risk prediction based on microseismic (MS) data is a significant research task to overcome the rockburst challenge during the excavation stage. By reviewing previous short-term rockburst risk prediction methods based on MS data, this
Haikuan Zhang, Haitao Li, Xiufeng Zhang, Shanshan Xue, Haichen Ying, Atao Li, Jianwei Zheng, Xiaoshan Shi   +7 more
doaj   +1 more source

Interpretable model for rockburst intensity prediction based on Shapley values-based Optuna-random forest

Underground Space
To address the limitation of traditional machine learning models in explaining the rockburst intensity prediction process, this study proposes an interpretable rockburst intensity prediction model.
Yaxi Shen, Shunchuan Wu, Yongbing Wang, Jiaxin Wang, Zhiquan Yang   +4 more
doaj   +1 more source

LSTM-based rockburst risk prediction model incorporating attention mechanism and convolutional neural networks and its applications

矿业科学学报
Rockburst is particularly hazardous, rendering the accurate prediction of rockburst risks one of the urgent challenges in this field of research. This study proposes and establishes a long short-term memory (LSTM) rockburst risk prediction model (CAL ...
ZHANG Yu, WANG Junchao, GUO Zhengjia, FANG Kongyi   +3 more
doaj   +1 more source

Novel stacking models based on SMOTE for the prediction of rockburst grades at four deep gold mines

Underground Space
Rockburst is a frequently encountered hazard during the production of deep gold mines. Accurate prediction of rockburst is an important measure to prevent rockburst in gold mines.
Peng Xiao, Zida Liu, Guoyan Zhao, Pengzhi Pan   +3 more
doaj   +1 more source