Prediction of Engineering Settlement and Deformation Based on Grey Theory Model

Abstract

Research purposes: the traditional methods of building deformation data processing were based on regression statistical analysis and time series analysis etc. These prediction methods need larger prediction sample data. Relatively large amounts of errors were caused by a small amount of data. Research methods and procedures: the paper uses the grey theory in operational research to solve these problems. The grey theory model only needs less sample observation data to predict the characteristics and the catastrophic & abnormal values. Prediction model of vertical displacement (settlement) deformation is established based on GM (1, 1) model. Compare the errors between the model value and the measured value and form fitting graphs of monitoring points. Research conclusion: the application results show that the grey theory model is suitable for data processing and prediction analysis of engineering building settlement and obtain the high prediction accuracy.