兰明,刘志祥,冯凡

• 1:中南大学资源与安全工程学院

摘要(Abstract)：

为有效预测地下工程岩爆的发生及烈度,结合地下工程岩爆的特点,分析岩爆影响因素及相关判别依据,选取围岩最大切向应力σ与岩石抗压强度σc之比σ/σc、岩石抗压强度σc与岩石抗拉强度σt之比σc/σt以及弹性能量指数Wet为判别因子,引入在线极限学习机理论,建立了岩爆预测的OS-ELM判别模型。以搜集到的国内外15组工程岩爆数据进行训练建模,训练完成后将样本数据做输出预测,得到模型的预测精度达97.98%,并与SVM、BP模型进行对比分析,结果表明,OS-ELM模型精度优于SVM和BP模型。利用该模型对国内两处隧道岩爆情况进行预测,结果与实际情况基本相符。研究表明,OSELM判别模型在岩爆烈度分级上具有良好的适用性和有效性。

关键词(KeyWords)： 安全工程;地下工程;在线极限学习机;岩爆分级;预测

Abstract:

Keywords:

基金项目(Foundation): 国家科技支撑计划项目(2013BAB02B05,2012BAB08B01);; 中南大学教师基金项目(2013JSJJ029);; 国家自然科学基金和上海宝钢集团公司联合资助项目(51074177)

作者(Author): 兰明,刘志祥,冯凡

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