Abstract:

To make the construction safe and implement the informative construction, it is important to analyze and predict the practical monitoring data during pit excavation. Time series analysis of existing trends is very difficult to meet the actual construction of highly nonlinear problems of fitting; and forecasting error is big. Based on this consideration, taking the practical monitoring data of the surface settlement from a pit construction in Tianjing for example, the time series-projection pursuit regression model is presented. After analyzing the raw data, the model can be considered both time series and the highly nonlinear fitting performance. First, comparative analysis of the approximation error and the forecast error of several time series methods, we find an approximation of good time series forecasting methods. The predicted and observed time series data combined with projection pursuit regression fitting. Application results show that the approximation performance of proposed model is good; and its prediction error is small. The methods presented herein are important reference to the dynamic design and informative construction for pit engineering.

Key words: time series analysis, projection pursuit regression model, pit excavation, surface settlement