地下铁道环境振动快速预测及可视化研究

Rapid Prediction and Visualization Research of Underground Railway Environment Vibration

采用Python语言编制了隧道-地层二维频域有限元建模程序,可实现地铁全线所有预测断面内地层与隧道建模信息的自动提取,以及模型的循环建立与自动求解,从而高效预测地铁通过时环境振动情况。将地表不同位置的振级绘成可视化图像,可用来直接识别不同行车条件以及不同地质环境下地铁周边环境振动的敏感区与安全区。将该模型应用于南京地铁1号线,发现现场实测值与理论计算值具有较好的一致性,从而验证了该模型的可行性与准确性。最后以南京地铁1号线为例展示了应用该方法预测地铁列车通过时地表振级的3种形式图。

By adopting Python language,program of 2D f inite element modeling for tunnel-foundation frequency domain was compiled,which could realize automatic extraction of ground and tunnel modeling information in all predicted sections of the metro line,the cycle establishment and automatic solution of the model,and predict the environmental vibration effectively when subway passes.The vibration level in different surface position as visual image can be used to directly identify sensitive area and safe area of subway surrounding environment vibration in different driving conditions and different geological conditions.Applying this model to Nanjing Metro Line 1 showed that the measured value is in good agreement with the theoretical calculation value,which verif ies the feasibility and accuracy of the model.Taking the Nanjing Metro Line 1 as an example,three forms of graph for the surface vibration level were predicted when the subway train passes by using this method.