Results 21 to 30 of about 4,340 (216)

Rockburst Intensity Level Prediction Method Based on FA-SSA-PNN Model

Energies, 2022
To accurately and reliably predict the occurrence of rockburst disasters, a rockburst intensity level prediction model based on FA-SSA-PNN is proposed. Crding to the internal and external factors of rockburst occurrence, six rockburst influencing factors
Gang Xu, Kegang Li, Mingliang Li, Qingci Qin, Rui Yue   +4 more
doaj   +1 more source

Application research of DHNN model in prediction of classification of rockburst intensity

Gong-kuang zidonghua, 2018
In view of problems of randomness and subjectivity in determining weight of existing rockburst prediction methods，a discrete Hopfield neural network (DHNN) model for prediction of classification of rockburst intensity was proposed。The model selects ...
XU Jia, CHEN Junzhi, LIU Chenyu, WANG Jiaxin, LONG Gang, LI Chunyi   +5 more
doaj   +1 more source

A Decision Tree for Rockburst Conditions Prediction

Applied Sciences, 2023
This paper presents an alternative approach to predict rockburst using Machine Learning (ML) algorithms. The study used the Decision Tree (DT) algorithm and implemented two approaches: (1) using DT model for each rock type (DT-RT), and (2) developing a single DT model (Unique-DT) for all rock types.
Dominic Owusu-Ansah, Joaquim Tinoco, Faramarzi Lohrasb, Francisco Martins, José Matos   +4 more
openaire   +3 more sources

Saturation effect on storage-dissipation properties and failure characteristics of red sandstone: Energy mechanism of water in preventing rockburst

International Journal of Coal Science & Technology
To investigate the effect of saturation on the storage-dissipation properties and failure characteristics of red sandstone, as well as the energy mechanism of rockburst prevention by water, a series of uniaxial compression and uniaxial loading–unloading ...
Yong Luo, Jiancheng Huang, Wuxing Wu, Xuefeng Si, Chuanqi Zhu   +4 more
semanticscholar   +1 more source

Digital rock mechanics solutions for underground engineering problems such as coal mining

Meitan kexue jishu
The observability of underground engineering, such as coal mining, is extremely limited, which makes it difficult to obtain reliable pre-analysis basis for many complex engineering problems. Especially in face of new engineering environment brought about
Haitao LI, Qingxin QI, Weisheng DU, Haikuan ZHANG, Guanyu YANG, Shouguang WANG, Xiaoshan SHI, Chunyuan LI, Chunyang CUI, Weiyu ZHENG, Jianwei ZHENG, Tuan HE, Wei ZHU   +12 more
doaj   +1 more source

Temperature effect of rockburst in granite caverns: insights from reduced-scale model true-triaxial test

Geomechanics and Geophysics for Geo-Energy and Geo-Resources
To investigate the influence of thermal treatment on the rockburst in granite caverns, true-triaxial compression tests were conducted on pre-heated granite cubic samples containing a circular through-hole using a true-triaxial test system, and the micro ...
Xuefeng Si, Yong Luo, Fengqiang Gong, Jiancheng Huang, Kaifeng Han   +4 more
semanticscholar   +1 more source

Mechanism of Vibration Energy Action on Dynamic Instability of Shock-Type Rockburst Carrier System

Shock and Vibration, 2020
In coal mining, the rockburst intensity triggered by the mine earthquake is often greater in the mining area, and the precursor information is more difficult to capture.
Lyu Pengfei, Cui Xuekai
doaj   +1 more source

Ensemble stacking rockburst prediction model based on Yeo–Johnson, K-means SMOTE, and optimal rockburst feature dimension determination

Scientific Reports, 2022
Rockburst forecasting plays a crucial role in prevention and control of rockburst disaster. To improve the accuracy of rockburst prediction at the data structure and algorithm levels, the Yeo–Johnson transform, K-means SMOTE oversampling, and optimal ...
Lijun Sun, Nanyan Hu, Yicheng Ye, Wenkan Tan, Menglong Wu, Xianhua Wang, Zhaoyun Huang   +6 more
doaj   +1 more source

Development and application of a rockburst database management system

工程科学学报, 2022
Aiming at the research problems on rockbursts in the forefront of deep rock mass engineering science, the challenges restricting its quantitative dynamics and intelligent warning research were analyzed.
Zhi-bin YAO, Wen-jing NIU, Yu ZHANG, Lei HU, Wei ZHANG   +4 more
doaj   +1 more source

The Use of Data Mining Techniques in Rockburst Risk Assessment

Engineering, 2017
Rockburst is an important phenomenon that has affected many deep underground mines around the world. An understanding of this phenomenon is relevant to the management of such events, which can lead to saving both costs and lives.
Luis Ribeiro e Sousa, Tiago Miranda, Rita Leal e Sousa, Joaquim Tinoco   +3 more
doaj   +1 more source