深基坑水平位移监测数据及预测模型分析

Analysis of Monitoring Data and Prediction Model for Horizontal Displacement of Deep Foundation Pit

深基坑是建筑工程中的常见挖掘方式,由于地下水、土壤压力等因素的影响,深基坑在施工过程中容易发生变形和破坏。因此,准确监测深基坑的变形情况,对于确保工程的安全和稳定性具有重要意义。文中以某深基坑为例,采用小波变换与神经网络的组合模型预测深基坑变形。结果表明,组合模型在基坑变形预测中具有较高的准确性和可靠性,也符合工程的实际情况。研究结果可为基坑变形监测提供有价值的参考。

Deep excavation is a common excavation method in construction engineering.Due to factors such as groundwater and soil pressure,deep excavation is prone to deformation and damage during the construction process.Therefore,accurately monitoring the deformation of deep foundation pits is of great significance for ensuring the safety and stability of the project.Taking a deep foundation pit as an example,a combined model of wavelet transform and neural network is used to predict the deformation of the deep foundation pit.The results indicate that the combined model has high accuracy and reliability in predicting deformation of foundation pits,and it is also in line with the actual situation of engineering.The research results can provide valuable reference for Deformation monitoring of foundation pit.