|
|
|
|
|
Chao Wang, Jianhui Xu, Yuefeng Li, Tuanhui Wang and Qiwei Wang
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. As a classical machine learn...
ver más
|
|
|
|
|
|
|
|
|
|
|
Aibing Jin, Prabhat Basnet and Shakil Mahtab
In deep engineering, rockburst hazards frequently result in injuries, fatalities, and the destruction of contiguous structures. Due to the complex nature of rockbursts, predicting the severity of rockburst damage (intensity) without the aid of computer m...
ver más
|
|
|
|
|
|
|
|
|
|
|
Quanjie Zhu, Longkun Sui, Yongming Yin, Jinhai Liu, Zhenhua Ouyang and Dacang Wang
Monitoring and providing warnings for coal mine rockburst disasters is a worldwide problem. Several rockburst accidents have occurred in a 1301 belt transport chute near a 1300 fully mechanized caving mine face. To address this issue, an empirical study ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hong Wang, Lei Nie, Yan Xu, Yan Lv, Yuanyuan He, Chao Du, Tao Zhang and Yuzheng Wang
Rockburst intensity prediction is one of the basic works of underground engineering disaster prevention and mitigation. Considering the dynamic variability and fuzziness in rockburst intensity prediction, variable fuzzy sets (VFS) are selected for evalua...
ver más
|
|
|
|
|
|
|
|
|
|
Hydropower is one of the most important renewable energy sources. However, the safe construction of hydropower stations is seriously affected by disasters like rockburst, which, in turn, restricts the sustainable development of hydropower energy. In this...
ver más
|
|
|
|
|
|