基于神经网络的基坑变形监测分析及应用

Analysis and Application of Foundation Pit Deformation Monitoring Based on Neural Network

建筑基坑的变形监测与稳定性分析是确保基坑工程安全的重要环节。由于基坑变形过程是一个高度复杂的非线性变化过程,仅采用力学分析或数值方法等常规手段进行基坑变形预测,得到的结果往往误差较大。文中结合BP神经网络的优点,提出了一种基于BP网络的基坑变形监测方法,通过具体工程案例的分析和实践证明,这种方法不仅可以有效地控制变形,还具有较高的经济效益。

Deformation monitoring and stability analysis of building foundation pit are important links to ensure the safety of foundation pit engineering.Due to the highly complex nonlinear evolution process of foundation pit deformation,conventional methods such as mechanical analysis or numerical methods often have significant errors in predicting foundation pit deformation.A new method of machine learning based on Gaussian process is proposed to predict the deformation of foundation pit.Combining the advantages of BP neural network,this paper puts forward a method of foundation pit Deformation monitoring based on BP neural network.The practice proves that this method can not only effectively control the deformation,but also has higher economic benefits.