Results 91 to 100 of about 4,719,386 (185)

Emerging challenges and perspectives in deep underground science and engineering

Deep Underground Science and Engineering, Volume 5, Issue 3, Page 633-634, September 2026.
Jianguo Wang, Chunfai Leung
wiley   +1 more source

Interpretable Tree‐Based Models for Predicting Short‐Term Rockburst Risk Considering Multiple Factors

Energy Science &Engineering, Volume 14, Issue 6, Page 2941-2960, June 2026.
Interpretable tree‐based models integrate microseismic, geological, and mining indicators to predict short‐term rockburst risk. SHAP analysis reveals the dominant role of energy‐related features and clarifies nonlinear factor interactions, enabling transparent and reliable early‐warning in deep coal mines.
Shuai Chen, Linming Dou, Atao Li, Wu Cai, Lei Zhang   +4 more
wiley   +1 more source

Rockburst prediction and early warning for a highway tunnel excavated by TBM based on microseismic monitoring

Frontiers in Earth Science
A newly developed microseismic (MS) monitoring system was employed in the Tianshan-Shengli tunnel to detect MS activities and then predict and provide early warning of rockburst disasters.
Jian Zhao, Dan Huang, Yong-Shun Cai, Dengxia Huang, Xiaolong Zhou, Fei Wang, Yuxian Pan   +6 more
semanticscholar   +1 more source

Study on the Energy Evolution and Stability of Roadway Surrounding Rock Under the “Simultaneous Mining–Driving” Condition

Energy Science &Engineering, Volume 14, Issue 4, Page 2225-2247, April 2026.
Based on theoretical analysis, the energy‐evolution behavior of the surrounding rock at various depths on the solid‐coal side of the 221303 material roadway during the “advancing‐toward‐mining” process was first clarified. Numerical simulations were then performed to validate and elaborate on the theoretical results.
Wei Zhang, Peilin Gong, Kang Yi, Guang Wen, Libin Bai, Lizhu Liu, Chen Gong, Peng Li   +7 more
wiley   +1 more source

Discussions on rockburst and dynamic ground support in deep mines [PDF]

, 2019
The paper is a summary of discussions on four topics in rockburst and dynamic ground support. Topic 1 is the mechanisms of rockburst. Rockburst events are classified into two categories in accordance with the triggering mechanisms, i.e.
Feng, X.W., Nuwen Xu, Brad Simser, Charlie C. Li, Bruce Hebblewhite, Joughin, W, Li, Charlie Chunlin, Xiaowei Feng, Mikula, P, Xu, N.W., Simser, B, Hebblewhite, B, William Joughin, Peter Mikula   +13 more
core   +1 more source

Landslide Activity in the European Alps ‐ Part 1: A Machine Learning Based Instrumental Catalog From the Analysis of Seismological Data

Journal of Geophysical Research: Earth Surface, Volume 131, Issue 4, April 2026.
Abstract Landslides in the European Alps are a growing concern in the context of climate change. However, landslide catalogs for the European Alps remain incomplete, often lacking precise timing and containing few, if any, entries for remote areas.
Charlotte Groult, Clément Hibert, Jean‐Philippe Malet, Anthony Lomax, Floriane Provost   +4 more
wiley   +1 more source

Stress analysis of crack characteristic of anthracite under dynamic loading

Deep Underground Science and Engineering, Volume 5, Issue 1, Page 56-65, March 2026.
In this article, the dynamic compression test of anthracite under five strain rates is carried out, the evolution law of three kinds of crack characteristic stress is analyzed, and a prediction model of the crack characteristic stress threshold considering the strain rate effect is established. Then, the rationality of crack characteristic stress under
Yun Bai, Feng Gao, Ning Luo, Zhizhen Zhang, Yue Niu, Shanjie Su   +5 more
wiley   +1 more source

Short-term rockburst prediction model based on microseismic monitoring and probability optimization naive Bayes

Rock and Soil Mechanics
Rockburst is a common ground pressure hazard in underground geotechnical engineering. To predict rockburst accurately in real-time, this study proposes a short-term rockburst prediction model based on microseismic monitoring and probability optimization ...
Jiahao Sun, Wen-Jie Wang, Lian-Ku Xie
semanticscholar   +1 more source

Research on Rockburst Prediction Classification Based on GA-XGB Model

, 2021
Rockburst is a typical engineering geological disaster under the condition of high geostress. The rockburst classification and prediction are of great significance for the prevention and control of engineering geological disasters under the high ...
Wei Jiang, Xuebin Xie, Jiang Guo
core   +1 more source

Research on Prediction System for Rockburst Based on Artificial Intelligence Application Methods

工程科学与技术, 2010
:Based on theoretical analysis and on-the-spot monitoring methods, a prediction system for rockburst consisting of long-term and short-term predicting models was proposed.
Peng Qi, Qian Aiguo, Xiao Yu
doaj