Long term prediction of rockbursts at Canadian Diamond Mines

岩爆是一种超应力区不稳定的地质灾害，大多是由地下开采引起的，对矿山和土木工程地下作业中的矿工和设备安全构成严重威胁。所有采矿国家都有岩爆事件的记录。岩爆长期预测是岩爆倾向性评价与现场条件相结合的结果。世界上许多矿区都在使用已开发的岩爆指标来测量岩爆行为。岩爆的发生与地质构造、采矿或开挖方法、岩石力学性质、地应力等因素有关。此外，这些影响因素对岩爆发生的相互影响尚不清楚。因此，目前的预测方法在工程上有很大的局限性。因此，本提案旨在利用世界各地发生岩爆的案例研究数据库，并使用机器学习技术进行岩爆的长期预测。

Rockburst is a type of unstable geological hazard in overstressed areas, which is in most times induced by underground mining and constitute a serious threat to the safety of miners and equipment during underground work in both mining and civil engineering projects. All mining countries have records about rockburst events. Long-term rockburst prediction is based on a combination of evaluation of rockburst liability and field conditions. Many mining sites around the world are using rockbursting indicators that have been developed to measure the rock bursting behaviour. However, rockburst occurrence relates to a number of factors, including geologic structure, mining or excavation methods, mechanical properties of rocks, in-situ stress and so on. Furthermore, the mutual effects of these impact factors for occurrence of rockburst are still not clear. As such, current prediction methods have significant limitations in engineering. Therefore, this proposal aims to use data base from case studies around the world where rockburst have occurred and use machine learning techniques for long term prediction of rockbursts.