Results 71 to 80 of about 412 (171)
Recent advancements and emerging challenges in deep underground engineering
Deep Underground Science and Engineering, EarlyView.
Jianguo Wang, Chunfai Leung
wiley +1 more source
Kinematic Limit Analysis of Roof Stability for Elliptical Tunnels in Rock Masses
ABSTRACT Noncircular cross‐sections are commonly encountered in engineering practice; however, primary attempts to analyze roof stability have focused on circular and rectangular configurations. This study investigates the roof stability of elliptical tunnels with varying aspect ratios, employing two semi‐analytical approaches: piecewise linear and ...
Tae‐Won Seo, Dowon Park
wiley +1 more source
Log‐Periodic Power Law Singularities in Landslide Dynamics: Statistical Evidence From 52 Crises
Abstract Landslide movements typically show a series of progressively shorter quiescent phases, punctuated by sudden bursts during an acceleration crisis. We propose that such intermittent rupture phenomena can be described by a log‐periodic power law singularity model. Amounting mathematically to a generalization of the power law exponent from real to
Qinghua Lei, Didier Sornette
wiley +1 more source
Invisible Labor and the “Ghost Particle”: Underground Physics at the Kolar Gold Fields**
Abstract When cosmic rays—high‐energy particles from outer space—encounter the Earth's atmosphere, they produce particles called neutrinos. To detect them, physicists go underground inside deep mines where the overlying rock can filter out the cosmic‐ray background radiation.
Nithyanand Rao
wiley +1 more source
Research on Prediction System for Rockburst Based on Artificial Intelligence Application Methods
: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
LSTM multivariate model based microseismic time-series prediction and rockburst early warning
Aiming at the prominent rockburst risk in deep mining of Kongzhuang coal mine with high in-situ stress and thick hard roof, this study takes microseismic monitoring time-series data as the research object, and constructs a set of rockburst prediction and
Zenglun Guan +8 more
doaj +1 more source
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 +7 more
doaj +1 more source
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 +4 more
doaj +1 more source
PNN-based Rockburst Prediction Model and Its Applications
Rock burst is one of main engineering geological problems significantly threatening the safety of construction. Prediction of rock burst is always an important issue concerning the safety of workers and equipment in tunnels. In this paper, a novel PNN-based rock burst prediction model is proposed to determine whether rock burst will happen in the ...
Zhou, Yu, Wang, Tingling
openaire +3 more sources
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 +4 more
doaj +1 more source

