Abstract:

In subsidence forecast, after using MATLAB7.0 to make original data to be equal interval and the building differential model through cumulative series and original series, by being based on engineering mathematics and using the grey theory, the metabolic GM(1,1) model was established with the old data being removed when new data was added in. The effect of simulation and prediction was checked relying on an engineering example and was compared with the general GM (1,1) model and the new information GM (1,1) model.Calculation and comparison results showed that the metabolic GM (1,1) model has higher accuracy than other models and forecast effects are greatly increased.

Key words:  buildings, metabolic GM(1,1) model, subsidence forecast