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A comprehensive review of intelligent machine learning based predicting methods in long-term and short-term rock burst prediction
PMS Basnet, S Mahtab, A ** - Tunnelling and Underground Space …, 2023 - Elsevier
Rockburst is a geological hazard frequently encountered in deep underground engineering
projects that threaten workers' safety and causes damage to an excavation. The occurrence …
projects that threaten workers' safety and causes damage to an excavation. The occurrence …
Influence of water on rockburst proneness of sandstone: Insights from relative and absolute energy storage
S Luo, F Gong, K Peng, Z Liu - Engineering Geology, 2023 - Elsevier
To fully understand the influence of water on rockburst proneness from energy storage
viewpoint of rock and to check the performance of energy-related rockburst proneness …
viewpoint of rock and to check the performance of energy-related rockburst proneness …
Develo** intelligent classification models for rock burst prediction after recognizing significant predictor variables, Section 1: Literature review and data …
S Afraei, K Shahriar, SH Madani - Tunnelling and Underground Space …, 2019 - Elsevier
Rock bursts constitute serious hazards in underground mining and excavating. Up to now,
numerous researches in the form of empirical, experimental, analytical, intelligent and …
numerous researches in the form of empirical, experimental, analytical, intelligent and …
Development of a model using matter element, AHP and GIS techniques to assess the suitability of land for agriculture
Land suitability assessment is an essential step for land use planning and development.
Over the last decade, many researchers, organizations, research institutes and governments …
Over the last decade, many researchers, organizations, research institutes and governments …
Challenges and new insights for exploitation of deep underground metal mineral resources
LI Peng, M Cai - Transactions of Nonferrous Metals Society of China, 2021 - Elsevier
Long-term and continuous large-scale exploitation has increasingly exhausted shallow
metal mineral resources, and deep mining has become inevitable. The current global status …
metal mineral resources, and deep mining has become inevitable. The current global status …
Stress–energy mechanism for rock failure evolution based on damage mechanics in hard rock
C Wang, B He, X Hou, J Li, L Liu - Rock Mechanics and Rock Engineering, 2020 - Springer
To investigate the quantification of the extent of damage by considering the energy during
rock failure, the pattern of energy dissipation and energy conversion, and the stress–energy …
rock failure, the pattern of energy dissipation and energy conversion, and the stress–energy …
Rockburst prediction in hard rock mines develo** bagging and boosting tree-based ensemble techniques
Rockburst prediction is of vital significance to the design and construction of underground
hard rock mines. A rockburst database consisting of 102 case histories, ie, 1998–2011 …
hard rock mines. A rockburst database consisting of 102 case histories, ie, 1998–2011 …
A new rockburst criterion of stress–strength ratio considering stress distribution of surrounding rock
X Liu, G Wang, L Song, G Han, W Chen… - Bulletin of Engineering …, 2023 - Springer
Rockburst is a common geological disaster in the process of deep rock excavation, and
stress gradient is an important factor affecting rockburst. In this paper, the concept of “stress …
stress gradient is an important factor affecting rockburst. In this paper, the concept of “stress …
[HTML][HTML] Rockburst proneness considering energy characteristics and sample shape effects
S Luo, F Gong, K Peng, Z Liu - Journal of Rock Mechanics and …, 2024 - Elsevier
Accurate prediction of rockburst proneness is one of challenges for assessing the rockburst
risk and selecting effective control measures. This study aims to assess rockburst proneness …
risk and selecting effective control measures. This study aims to assess rockburst proneness …
An improved Dempster–Shafer approach to construction safety risk perception
This paper proposes a novel hybrid approach that merges fuzzy matter element (FME),
Monte Carlo (MC) simulation technique, and Dempster–Shafer (D–S) evidence theory to …
Monte Carlo (MC) simulation technique, and Dempster–Shafer (D–S) evidence theory to …