Results 41 to 50 of about 2,608,139 (189)

Machine learning methods for rockburst prediction-state-of-the-art review

International Journal of Mining Science and Technology, 2019
One of the most serious mining disasters in underground mines is rockburst phenomena. They can lead to injuries and even fatalities as well as damage to underground openings and mining equipment.
Yuanyuan Pu, Derek B. Apel, Victor Liu, Hani Mitri   +3 more
doaj   +1 more source

Predictive Modeling of Short-Term Rockburst for the Stability of Subsurface Structures Using Machine Learning Approaches: t-SNE, K-Means Clustering and XGBoost

Mathematics, 2022
Accurate prediction of short-term rockburst has a significant role in improving the safety of workers in mining and geotechnical projects. The rockburst occurrence is nonlinearly correlated with its influencing factors that guarantee imprecise predicting
Barkat Ullah, Muhammad Kamran, Yichao Rui   +2 more
doaj   +1 more source

Optimization of BP Neural Network Model for Rockburst Prediction under Multiple Influence Factors

Applied Sciences, 2023
Rockbursts are serious threats to the safe production of mining, resulting in great casualties and property losses. The accurate prediction of rockburst is an important premise that influences the safety and health of miners.
Chao Wang, Jianhui Xu, Yuefeng Li, Tuanhui Wang, Qiwei Wang   +4 more
semanticscholar   +1 more source

Multivariate Early Warning Method for Rockburst Monitoring Based on Microseismic Activity Characteristics

Frontiers in Earth Science, 2022
The monitoring of rockburst is one of the worldwide problems in underground engineering and how to effectively predict and early warn the occurrence of rockburst disasters has become an urgent problem to be solved.
Qun Yu, Danchen Zhao, Yingjie Xia, Shengji Jin, Jian Zheng, Qingkun Meng, Chaoqian Mu, Jingchi Zhao   +7 more
doaj   +1 more source

A prediction model on rockburst intensity grade based on variable weight and matter-element extension.

PLoS ONE, 2019
Rockburst is a common dynamic disaster in deep underground engineering. To accurately predict rockburst intensity grade, this study proposes a novel rockburst prediction model based on variable weight and matter-element extension theory.
Jianhong Chen, Yi Chen, Shan Yang, Xudong Zhong, Xu Han   +4 more
doaj   +1 more source

Generative AI and Prompt Engineering: Transforming Rockburst Prediction in Underground Construction

Buildings
The construction industry is undergoing a transformative shift through automation, with advancements in Generative AI (GenAI) and prompt engineering enhancing safety and efficiency, particularly in high-risk fields like underground construction ...
Muhammad Kamran, Muhammad Faizan, Shuhong Wang, Bowen Han, Wei-Yi Wang   +4 more
semanticscholar   +1 more source

An Attempt to Use Machine Learning Algorithms to Estimate the Rockburst Hazard in Underground Excavations of Hard Coal Mine

Energies, 2021
Rockburst is a dynamic rock mass failure occurring during underground mining under unfavorable stress conditions. The rockburst phenomenon concerns openings in different rocks and is generally correlated with high stress in the rock mass.
Łukasz Wojtecki, Sebastian Iwaszenko, Derek B. Apel, Tomasz Cichy   +3 more
doaj   +1 more source

Impact of a multiple oversampling technique-based assessment framework on shallow rockburst prediction models

Frontiers in Earth Science
The occurrence of class-imbalanced datasets is a frequent observation in natural science research, emphasizing the paramount importance of effectively harnessing them to construct highly accurate models for rockburst prediction.
Guozhu Rao, Yunzhang Rao, Yangjun Xie, Qiang Huang, Jiazheng Wan, Jiyong Zhang   +5 more
semanticscholar   +1 more source

Ensemble Tree Model for Long-Term Rockburst Prediction in Incomplete Datasets

Minerals, 2023
The occurrence of rockburst can seriously impact the construction and production of deep underground engineering. To prevent rockburst, machine learning (ML) models have been widely employed to predict rockburst based on some related variables.
Huanxin Liu, Guoyan Zhao, Peng Xiao, Yantian Yin   +3 more
semanticscholar   +1 more source

PNN-based Rockburst Prediction Model and Its Applications

Earth 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