PREDICTION OF ROCKBURST BY ARTIFICIAL NEURAL NETWORK
- 出版年：2003
- 作者：Chen Haijun；Li Nenghui；Nie Dexin；Shang Yuequan
- 单位1：Department of Geotechnical Engineering，Nanjing Hydraulix Research Institute
- 单位2：Department of Geotechnical Engineering
- 语种：英文
- 作者关键词：rock mechanics；rockburst；neura lnetwork；underground rock engineering；prediction
- 起始页：762
- 总页数：7
- 经费资助：Supported by Natural Founfation（49972091）
- 刊名：岩石力学与工程学报
- 是否内版：否
- 刊频：月刊
- 创刊时间：1982
- 主办单位：中国岩石力学与工程学会
- 主编：朱维申
- 地址：武汉市武昌小洪山
- 邮编：430071
- 电子信箱：kjwang@public.wh.hb.cn
- 网址：//yslx.chinajournal.net.cn
- 卷：22
- 期：05
- 期刊索取号：P478.066357
- 核心期刊：全国中文核心期刊；中国科协优秀期刊；湖北省优秀期刊；EI摘要收录期刊
摘要
Based on the analysis of main causes of rockburst， the compressive strength， tensile strength， elastic energyindex of rock and the maximum tangential stress of the cavern wall are chosen as the criterion indexes for rockburst prediction。A new approach using neural method is proposed to predict rockburst occurrence and its intensity。 The prediction results show that it is feasible and appropriate to use artificial neural network model for rockburst prediction。