One of the main challenges that deep mining faces is occurrence rockburst phenomena. Rockburst prediction with use machine learning (ML) currently gaining attention, as its prognosis capability in many cases outperforms widely used empirical approaches. However, required data for conducting any analysis are limited, while also having imbalances their recorded instances associated intensities. T...

The great threat and destructiveness brought by a rock burst make its prediction prevention crucial in engineering. hazard evaluation at project locations is an effective way of preventing since currently real-time not available. Since different control factors discrimination conditions were accepted conventional risk determination methods, the same area may produce conflicting results. In this...

With the coal mines in western China entering field of deep mining, problem burst is becoming more and serious. According to characteristics it an urgent that requires development efficient reasonable prevention control plan guide project practices. This study takes typical mining area Ordos as research background, according stress state load form induced burst, which, divided into atypical typ...

Rockburst is one of the major problems in rock underground engineering and mechanics. To make a risk assessment rockburst improve mine safety index, some evaluation systems for propensity have been proposed applied, progress has made study high-value mines single systems, but these are still immature deep low medium grade phosphate with more complex influencing factors. Therefore, to solve this...