基于集合卡尔曼滤波的高填方路基沉降预测研究

摘要

Based on the stochastic dynamic characteristics of the settlement deformation of the high embankment roadbed,this paper uses Kalman filter method to establish the ensemble Kalman filter (EnKF) prediction model for high embankment roadbed settlement.This model is applied in practice,and the EnKF prediction is compared and analyzed with original data sequences.Results of analysis show the model established by EnKF has higher prediction precision,it has certain practical role in roadbed settlement prediction.%根据高填方路基沉降变形的随机动态特征,利用集合卡尔曼滤波方法,建立高填方路基沉降的集合卡尔曼滤波(EnKF)预测模型.将该模型用于实际工程中,并将EnKF预测值与原始实测数据序列进行对应分析.分析结果表明利用EnKF建立的模型具有较高的预测精度,其对路基沉降预测具有一定的实用意义.