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

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 t m , the equation can be used to quantitatively calculate the effective prediction interval t e 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.