Numerical back-analysis and effective prediction of the long-term settlement of airport high fill

抄録

The long-term settlement of high fill is large, which may affect the practical application of engineering. Therefore, it is crucial to study the calculation method and effective prediction range of long-term settlement. In this paper, a numerical back-analysis platform based on genetic algorithm and time-dependent UH model is established. It is verified that the numerical calculation based on time-dependent UH model is applicable to predict the long-term settlement by the settlement monitoring data of the high fill in Chengde Airport, Hebei province. The effective prediction interval method of long-term settlement is proposed and the corresponding calculation equation is derived. According to the existing measured data interval tm, the equation can be used to quantitatively calculate the effective prediction interval te under a specific settlement error limit. At last, the effective prediction interval is calculated through the monitoring data of the high fill in Chengde Airport.