L—V模型在软土地基沉降预测中的应用

为了提高软土地基沉降模型的预测精度，将现有的Logistic模型和Von—Bertalanffy模型进行叠加，提出了L—V模型，并利用Origin拟合软件对模型参数进行求解。将该模型应用到软土地基沉降预测中，并与Logistic模型和Von—Bertalanffy模型比较。结果表明L—v模型全过程沉降预测的拟合程度最高，达到0．9978；沉降后期L—V模型的均方根误差（RMSE=1．512）小于Logistic模型（RMSE=2．930）和Von—Bertalanffy模型（RMSE=3．624）的均方根误差，其预测值更加接近观测值。

Application of L - V model in settlement prediction of soft soil foundation

To improve the prediction accuracy on the soft foundation subsidence model, the paper puts forward L - V model which is superposed on the existing Logistic model and Von - Bertalanffy and takes advantage of the Origin fitting software to solve the model parameters. The model is model, applied to soft foundation subsidence prediction compared with the Logistic model and Von - Bertalanffy model. The results shows that predicted fitting degree of L - V model is the highest to 0. 997 8 ; the L - V model average root error （RMSE = 1. 512 ） of settlement later is less than that of Logistic model （ RMSE = 2. 930） and Von - Bertalanffy model （ RMSE = 3. 624 ）, and the prediction is approximated to the observations.