Long term prediction of rockbursts at Canadian Diamond Mines

冲击地压是高应力地区的一种不稳定地质灾害，大多由地下开采引起，严重威胁着采矿和土木工程地下作业过程中矿工和设备的安全。所有矿业国家都有关于冲击地压事件的记录。长期的冲击地压预测是基于对冲击地压危险性的评估和现场条件的结合。世界各地的许多矿场都在使用岩爆指示器，这种指示器已经被开发出来，用于测量岩爆行为。然而，冲击地压的发生与许多因素有关，包括地质构造、采矿或开挖方法、岩石的力学性质、地应力等。此外，这些影响因素对冲击地压发生的相互作用尚不清楚。因此，目前的预测方法在工程上有很大的局限性。因此，这项建议旨在利用世界各地发生冲击地压的案例研究的数据库，并使用机器学习技术对冲击地压进行长期预测。

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.