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 …

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 …

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 …

Development of a model using matter element, AHP and GIS techniques to assess the suitability of land for agriculture

J Seyedmohammadi, F Sarmadian, AA Jafarzadeh… - Geoderma, 2019 - Elsevier
Land suitability assessment is an essential step for land use planning and development.
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 …

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 …

Rockburst prediction in hard rock mines develo** bagging and boosting tree-based ensemble techniques

S Wang, J Zhou, C Li, DJ Armaghani, X Li… - Journal of Central South …, 2021 - Springer
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 …

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 …

[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 …

An improved Dempster–Shafer approach to construction safety risk perception

L Zhang, L Ding, X Wu, MJ Skibniewski - Knowledge-Based Systems, 2017 - Elsevier
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 …