Results 131 to 140 of about 135,213 (339)
In this work, we propose an improved particle swarm optimization (PSO) algorithm and develop an improved PSO‐relevance vector machine (RVM) model as a substitute for traditional true‐triaxial testing. The model's high prediction accuracy was validated through comparisons with two other machine learning methods and five three‐dimensional Hoek–Brown type
Qi Zhang +4 more
wiley +1 more source
China's coal resources with a buried depth of more than 1000 m account for more than 50% of the total reserves, which will be the main part of coal resources supply in the future.
Feng CUI +6 more
doaj +1 more source
Unified Mechanism of Rock Burst Induced by Coal Mine Earthquake and Its Activity and Response Characteristics [PDF]
Lyu Pengfei, Yijian Geng
openalex +1 more source
This article aims to investigate the dynamic fracture response of fractured tunnel models under zero geological stress through physical experiments and numerical simulations. It further simulates the dynamic fracture characteristics of fractured tunnel models under geological stress ranging from 0 to 2.5 MPa using the numerical software AUTODYN ...
Peng Ying +7 more
wiley +1 more source
Prediction of microseismic events in rock burst mines based on MEA-BP neural network. [PDF]
Lan T, Guo X, Zhang Z, Liu M.
europepmc +1 more source
Electron neutrino has been the first neutral lepton to be foreseen and discovered last century. The un-ordered muon and its neutrino arose later by cosmic rays.
D'Armiento, D. +2 more
core
This study investigates the blast‐induced rock damage patterns under different cut‐hole layouts and ground stress conditions through numerical simulations and field tests. The findings in this study provide valuable insights for similar underground engineering applications.
Junjie Zhao +5 more
wiley +1 more source
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan +4 more
wiley +1 more source
The Revealed Mechanism of Rock Burst Based on an Innovative Calculation Method of Rock Mass Released Energy. [PDF]
Zhang W, Feng J, Ma J, Shi J.
europepmc +1 more source
Analysis of Rock Burst Induced by Overlying Magmatic Rock [PDF]
Yue Yu, Zhenxing Chang
openaire +1 more source

