The Rata Processing Of Deformation Monitoring And The Research Of Deformation Predicting In Reverse Construction Method Of Deep Foundation Pit

With the development of the society, the cost of developing the urban land is raising, in the past, land developers liked increasing the height of the building, but now they prefer to develop the depth of the land, deep foundation pit is no longer a strange word.The base is the bearing part of the upper structure construction, it related to the safety of the upper structure, and to the stability of the surrounding buildings as well, more and more scholars and scientists join the foundation pit deformation researches, but many factors affect the deformation of foundation pit, we cannot directly used the existing mathematical and mechanical model to study the development trend of deformation, which often require researchers to find this out in the complex data in a wide range of marine connection, then set up the data model.Reverse construction method is the emerging technologies of deep foundation pit construction in nearly 20 years, which have been widely used in Germany and other developed countries, reverse construction method is an opposite concept to the traditional technique of foundation pit construction, it can achieve the purpose of building the upper structure and the infrastructure construction at the same time, and it is the right choice of multistory basement construction in the future, it can not only shorten the period of construction, but also can reduce the cost of the enclosing foundation pit. In this paper, the actual background of the deep foundation pit engineering---Wuhan for one’s name on the basis of the deep foundation pit discovered in reverse construction method. I study on the exploration on the basis of the prediction searches of deep foundation pit deformation and joined the challengeable and uncertainable elements--- reverse construction method, using the actual deformation monitoring data to establish model, and in the continuous experiments, I modified the model and finally verified that the reverse construction method is full of superiority. This paper would provide guiding information to the other central China region of the loess soil foundation.In terms of data analysis, the data analysis theory which I used is gray system method and artificial neural network. Through the practice I founded that the two methods can predict the deformation of foundation pit in a certain extent, but they all have many disadvantages.The shortcomings of Gray system method is only applicable to exponential growth, but is not predictive for the index of the data, and the artificial neural network in the case of monitoring data sequence is very short and it is concluded that the results of the prediction error is relatively large.Based on the advantages and disadvantages of the above two methods, this paper will discuss the grey system method and the advantages of artificial neural network model. Using Matlab software, carries, on the deep foundation pit deformation prediction by gray system GM (1,1) model, artificial neural network model and comparing the comprehensive prediction model to forecast and the results, the results show that the optimization model has higher precision and accuracy.