Results 71 to 80 of about 4,719,386 (185)

Nanoscale fracture mechanisms in defective α‐quartz induced by compression: Insights from molecular dynamics simulation

Deep Underground Science and Engineering, EarlyView.
Rock fracture can ultimately be traced to atomic bond breakage. Taking quartz as a representative mineral, this paper employs molecular dynamics to identify the crack initiation and propagation mechanisms for single‐hole cases, as well as crack coalescence modes between double holes under compression, providing a physical basis for multiscale modeling ...
Sheng Li, Hongchang Zhou, Yuhao Wu, Suifeng Wang, Jikai Sun   +4 more
wiley   +1 more source

Steel segment–anchor bolt (cable) structure for TBM tunnels under extremely intense rockburst conditions: Design method and field application

Deep Underground Science and Engineering, EarlyView.
The graphical abstract presents a steel segment–anchorage support system for open TBM tunnels under extremely intense rockburst conditions. The steel segment resists dynamic impact, while the anchorage structure restrains segment deformation and transfers loads into the rock.
Zhijun Li, Pan Gao, Zhifan Xu, Zhilong Wang, Mingnian Wang   +4 more
wiley   +1 more source

A New Method of Rockburst Prediction for Imbalanced Data Categories Using an Improved XGBoost Algorithm with Enhanced Interpretability

Intelligent Transportation Infrastructure
Rockburst prediction is critical for safety in deep underground engineering but is persistently hindered by complex geological conditions and severe class imbalance in monitoring data.
Jianfeng Wang, Jun-Yang He, Yong Fang, Zhi-Gang Yao, Tao Yu, Kai-Chen Ying, Jian Cui   +6 more
semanticscholar   +1 more source

Intelligent Monitoring and Warning for Road‐Network Tunnels Via Feature Matching

Applied Research, Volume 5, Issue 5, October 2026.
To address the safety issues in mountain tunnel construction, an early warning model integrating association rules and text vectorization feature matching was developed. The validation on two tunnels demonstrated that this model can accurately predict accident types and actively identify risks, providing support for dynamic safety management and the ...
Yinghui Zhang, Xianghui Liu
wiley   +1 more source

The damage and failure mechanism of prestatically loaded rock during medium‐strain rate cyclic impact loading

Deep Underground Science and Engineering, Volume 5, Issue 3, Page 829-842, September 2026.
Based on experimental results and theoretical analysis, an established rock damage accumulation model that comprehensively considers the preapplied static load, impact peak value, impact frequency, and impact times. Abstract To study the rock damage mechanism under high static loading and superimposed medium strain rate cyclic impact loading, a series ...
Wei Wang, Hanpeng Wang, Zicheng Wang, Xinyuan Xie, Yunhao Wu, Jinhou Zhang, Dekang Sun   +6 more
wiley   +1 more source

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   +1 more source

In-situ stress characteristics and rockburst prediction for a tunnel in a high in-situ stress environment

Frontiers in Earth Science
As the main source of pressure around tunnel rock masses, in-situ stress must be thoroughly understood to accurately predict the potential for rockburst events, especially in high-stress construction environments.
C. Luo, Zhiwen Shen, Jin Zhang, Mao-Hong Yao, Yingbo Yang, Kai Zhang, Meng Wang, Shuang Yang, Yonggang Zhang   +8 more
semanticscholar   +1 more source

Rockburst dataset in tunnels

, 2020
Rockburst dataset based on the indicators from the microseismic monitoring system in tunnels. There are four rockburst risk levels: none (34 cases), slight (21 cases), moderate (25 cases) and intense (11 cases).
Liang, W (via Mendeley Data), Zhao, Guoyan   +1 more
core   +1 more source

Decision Tree Model for Rockburst Prediction Based on Microseismic Monitoring

, 2021
Rockburst is an extremely complex dynamic instability phenomenon for rock underground excavation. It is difficult to predict and evaluate the rank level of rockburst in practice.
Changxing Zhu, Bingrui Chen, Hongbo Zhao
core   +1 more source

Investigation of Rockburst Mechanisms and Rockburst Prediction Using Numerical Modeling Methods [PDF]

, 2023
Rockburst is a sudden rock failure characterized by the breaking up and expulsion of rocks from their surroundings, accompanied by a violent release of energy.
Wang, Jun
core   +1 more source