摘要
深部开采诱发的岩爆是极其复杂的，受到许多因素的控制。本文应用智能岩石力学的思想，提出了岩爆风险估计与防治策略确定的综合集成智能模型。采用面向对象的技术，开发了一个综合集成系统。它利用专家系统和神经网络模型，根据所获得的现场测试和监测资料，综合进行岩爆风险估计。针对可能发生的岩爆烈度，建议合理的防治措施。
Rockburst induced by mining at great depth is very comlicated and affected by many factors. Inthis paper, with thoughts of intelligent rock mechanics, an integrated intelligent model on rockbusrt assessmentand identification of its prevention strategies is proposed. An integrated intelligent system has been developedwith object-oriented technology.
出处
《中国矿业》
北大核心
1998年第6期44-46,共3页
China Mining Magazine
基金
教育部博士点专项科研基金!96014513
关键词
岩爆
专家系统
神经网络
防治对策
深部采矿
Rockburst risk assessment, Expert system, Neural network, Prevention strategies, Mining
