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详细收集了大连地铁东港广场至港湾广场区间的资料,制定了合理的监测方案,通过对监测数据的处理,合理预测了围岩的变形趋势及特点,为二次衬砌的支护提供了合理时机。通过对量测结果的分析,确定了围岩的反演参数;对反演参数弹性模量E和水平侧压力系数K进行了水平划分,利用正交试验设计和均匀试验设计方法,以选取的断面为参考,利用FLAC3D数值模拟和BP神经网络相结合的方法,分别建立了神经网络的训练样本和检测样本,从而得到了大连地铁暗挖区间的两个围岩参数:弹性模量E和水平侧压力系数K;然后通过反演得到的围岩参数,利用FLAC3D对暗挖隧道进行正演分析,将变形结果与监测结果进行比较,均符合规范要求。
The data of Donggang Plaza to Harbor Plaza in Dalian Metro are collected in detail and a reasonable monitoring plan has been worked out. Through the monitoring data processing, the deformation trend and characteristics of surrounding rock are reasonably predicted, which provides a reasonable opportunity for the support of the secondary lining . Through the analysis of the measurement results, the inversion parameters of the surrounding rock are determined. The elastic modulus of the inversion parameter E and horizontal pressure coefficient K are divided horizontally. By the orthogonal experimental design and the uniform experimental design method, Section as a reference. By using the combination of FLAC3D numerical simulation and BP neural network, the training samples and testing samples of neural network are respectively established, and the two surrounding rock parameters of underground excavation interval in Dalian Metro are obtained: elastic modulus E and level Then, through the inversion of the obtained parameters of surrounding rock, FLAC3D is used to conduct forward analysis of the tunneling, and the results of deformation and monitoring are compared and meet the requirements of the code.