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长隧道围岩稳定性的模型预测
Stability prediction of the long tunnel surrounding rock
【摘要】 长隧道围岩级别交替变化,围岩稳定性较差。监控量测是隧道安全施工的重要保证,通过对隧道现场实测数据进行建模评价和稳定性预测,来判断隧道围岩的稳定性,从而指导隧道的下一步施工。本文首先对测量数据进行粗差探测,然后利用灰色系统理论中的GM(1,1)预测模型和BP神经网络原理对测量数据进行建模分析,来预测围岩变形量。
【Abstract】 Long tunnel surrounding rock level alternates and the stability of surrounding rock is poor. The monitoring surveying is an important method to guarantee the safety of tunnel construction. The stability of the tunnel surrounding rock is determined by using the measurements of tunnel sites. In this paper,the monitoring data is analyzed,and the GM( 1,1) forecasting model and BP neural network are then used to predict the deformation of the surrounding rock.
【关键词】 围岩监控量测;
灰色理论;
神经网络;
预测模型;
【Key words】 surrounding rock monitoring; Gray theory; neural network; prediction model;
【Key words】 surrounding rock monitoring; Gray theory; neural network; prediction model;
【基金】 国家自然基金“基于极大Lq似然估计的P范分布混合模型的估计理论研究”(编号:41374017)
- 【文献出处】 工程勘察 ,Geotechnical Investigation & Surveying , 编辑部邮箱 ,2016年05期
- 【分类号】U452.1
- 【被引频次】2
- 【下载频次】94