Results 71 to 80 of about 412 (171)

Recent advancements and emerging challenges in deep underground engineering

open access: yes
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

open access: yesInternational Journal for Numerical and Analytical Methods in Geomechanics, Volume 49, Issue 16, Page 3880-3896, November 2025.
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

open access: yesGeophysical Research Letters, Volume 52, Issue 15, 16 August 2025.
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**

open access: yesBerichte zur Wissenschaftsgeschichte, Volume 48, Issue 1-2, Page 163-179, August 2025.
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

open access: yes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  

LSTM multivariate model based microseismic time-series prediction and rockburst early warning

open access: yesFrontiers in Earth Science
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

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

open access: yesGeomechanics 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   +7 more
doaj   +1 more source

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

open access: yesAin 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   +4 more
doaj   +1 more source

PNN-based Rockburst Prediction Model and Its Applications

open access: yesEarth Sciences Research Journal, 2017
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

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

open access: yesUnderground 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   +4 more
doaj   +1 more source

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