公路隧道施工围岩稳定极限位移预测模型研究

发布时间：2018-01-11 04:11

本文关键词：公路隧道施工围岩稳定极限位移预测模型研究　出处：《北京交通大学》2014年硕士论文　论文类型：学位论文

【摘要】：本文通过FLAC3D软件模拟计算了两车道公路隧道的三维施工开挖过程,将突变理论和人工智能方法引入这一研究领域,开展公路隧道施工围岩稳定极限位移预测模型研究。首先,通过对数值计算结果提取的洞周位移构造尖点突变模型并求得隧道施工过程中的位移突变特征值,然后根据围岩失稳位移模突变原理获取隧道稳定极限位移,并以此构造训练样本,进而引入进化支持向量回归算法,经机器学习建立起公路隧道处于临界平衡状态下,围岩地质条件、埋深、跨度、工法和支护参数与关键点位移之间的支持向量回归智能模型,并进一步将其转化为非线性初等函数数学方程。对不同的公路隧道,依据此数学方程可以计算出相应的极限位移,保证公路隧道的安全施工和提高工程质量。
[Abstract]:In this paper, the three-dimensional excavation process of two-lane highway tunnel is simulated and calculated by FLAC3D software, and the catastrophe theory and artificial intelligence method are introduced into this research field. The prediction model of the limit displacement of surrounding rock stability of highway tunnel construction is studied. Firstly, the cusp catastrophe model of the displacement around the tunnel is extracted from the numerical results and the characteristic value of the displacement change in the construction process of the tunnel is obtained. Then the tunnel stability limit displacement is obtained according to the rock instability displacement mode catastrophe principle, and then the training sample is constructed, and then the evolutionary support vector regression algorithm is introduced. An intelligent model of support vector regression is established for highway tunnel in critical equilibrium condition of surrounding rock geological condition, buried depth, span, construction method and support parameters and key point displacement by machine learning. It is further transformed into nonlinear elementary function mathematical equation, according to which the corresponding limit displacement can be calculated for different highway tunnels, which can ensure the safe construction of highway tunnel and improve the engineering quality.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U456.3

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