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论文首先分析和总结了影响西安地裂缝发展变化的主要人为因素。随后,利用三维非稳定渗流分析方法研究了人类活动对地下水位的影响;根据西安市新增固定资产投资的变化,预测了地面荷载的变化;以时间、地下水位和地面荷载为基本变量,建立了预测f 7地裂缝活动趋势的BP神经网络模型;最后,借助MATLAB语言进行编程,利用训练稳定的网络模型,预测了f 7地裂缝的活动趋势以及年平均的垂直位移沉降量,为进一步研究西安地铁2号线安全运行和防护提供参考依据。
The paper first analyzes and summarizes the main human factors that affect the development of Xi’an fissure. Subsequently, the influence of human activities on groundwater level was studied by three-dimensional unsteady seepage analysis. The change of ground load was predicted based on the change of new investment in fixed assets in Xi’an. The time, groundwater level and ground load were taken as the basic variables to establish Finally, using the MATLAB language to program and predict the f7 ground fission activity trend and annual average vertical displacement settlement by using the training stable network model for further research Xi’an Metro Line 2 safe operation and protection provide a reference.