Results 21 to 30 of about 1,540,028 (185)

A prediction model on rockburst intensity grade based on variable weight and matter-element extension.

PLoS ONE, 2019
Rockburst is a common dynamic disaster in deep underground engineering. To accurately predict rockburst intensity grade, this study proposes a novel rockburst prediction model based on variable weight and matter-element extension theory.
Jianhong Chen, Yi Chen, Shan Yang, Xudong Zhong, Xu Han   +4 more
doaj   +2 more sources

A prototype-based rockburst types and risk prediction algorithm considering intra-class variance and inter-class distance of microseismic data

Frontiers in Earth Science
The prediction and classification of rockburst risk based on microseismic data is the premise of preventing rockbursts during deep mine excavation. By reviewing previous studies, this paper finds two problems that hinder the rockburst prediction: 1 ...
Xiufeng Zhang, Guoying Li, Yang Chen, Hao Wang, Haikuan Zhang, Haitao Li, Weisheng Du, Xiao Li, Xuewei Xu, Yuze He   +9 more
doaj   +2 more sources

Rockburst prediction based on multi-featured drilling parameters and extreme tree algorithm for full-section excavated tunnel faces

Journal of Rock Mechanics and Geotechnical Engineering
The suddenness, uncertainty, and randomness of rockbursts directly affect the safety of tunnel construction. The prediction of rockbursts is a fundamental aspect of mitigating or even eliminating rockburst hazards.
Wenhao Yi, Mingnian Wang, Qinyong Xia, Yongyi He, Hongqiang Sun   +4 more
doaj   +2 more sources

Rockburst Prediction Model Based on Entropy Weight Integrated with Grey Relational BP Neural Network

Advances in Civil Engineering, 2019
A rockburst prediction model of the entropy weight grey relational backpropagation (BP) neural network is developed. The model needs to select the evaluation factors according to the engineering practice and establish the sample library.
Yuchao Zheng, Heng Zhong, Yong Fang, Wensheng Zhang, Kai Liu, Jing Fang   +5 more
doaj   +2 more sources

Event recognition technology and short-term rockburst early warning model based on microseismic monitoring and ensemble learning [PDF]

Scientific Reports
Rockbursts are a significant geological hazard in deep underground engineering, and accurate short-term risk prediction can mitigate safety risks to personnel and equipment.
Zibin Li, Dengpan Qiao, Tianyu Yang, Jun Wang, Hao Chen   +4 more
doaj   +2 more sources

Research on Rockburst Classification Prediction Based on BP-SVM Model

IEEE Access, 2022
Rockburst is a complex destabilization phenomenon which is a combination of multiple factors, the study of rockburst for classification prediction can help prevent and control engineering geological hazards, reduce casualties and property damage.
Jiang Guo, Jingwen Guo, Qinli Zhang, Mingjian Huang   +3 more
doaj   +3 more sources

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   +2 more sources

Novel rockburst prediction criterion with enhanced explainability employing CatBoost and nature-inspired metaheuristic technique

Underground Space
Rockburst is a major challenge to hard rock engineering at great depth. Accurate and timely assessment of rockburst risk can avoid unnecessary casualties and property losses.
Yingui Qiu, Jian Zhou
doaj   +2 more sources

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   +3 more sources

Data-Driven Model for Rockburst Prediction [PDF]

Mathematical Problems in Engineering, 2020
Rockburst is an extremely complex dynamic instability phenomenon for rock engineering. Due to the complex and unclear mechanism of rockburst, it is difficult to predict precisely and evaluate reasonably the potential of rockburst. With the development of data science and increasing of case history from rock engineering, the data-driven method provides ...
Hongbo Zhao, Bingrui Chen
openaire   +1 more source