Hyperbola-Logistic叠加模型预测地基沉降

针对Hyperbola模型和Logistic模型的优缺点,提出Hyperbola-Logistic叠加模型,该叠加模型综合了两种单项预测模型的优点,以期达到高精度的预测结果。结合发电厂地基沉降现场观测数据,利用Hyperbola-Logistic叠加模型预测地基沉降,并与单项沉降预测模型的拟合结果进行比较分析。结果表明:与两种单项预测模型的预测结果相比较,叠加模型减小了系统误差,提高了整体的预测精度,拟合结果可靠,适用于发电厂地基沉降量的预测。新模型具有一定的适用性,是一种分析预测地基沉降的有效方法。

Prediction of foundation settlement by hyperbola-logistic superposition model

In view of the advantages and disadvantages of Hyperbola model and Logistic model, we put forward the Hyperbola-Logistic model. The model integrated the advantages of both single forecasting models so as to achieve high accuracy. Based on the observation data of the foundation settlement at power plants, the Hyperbola-Logistic superposition model was used to predict the ground settlement, and the results were compared with the results of the single settlement forecasting models. The results showed that, compared with the forecasting results of the two single forecasting models, the superposition model reduced system error and improved the accuracy of prediction. The fitting results were reliable, and can be applied to the foundation settlement prediction of power plants. The new model is feasible, and is an effective method to analyze and predict foundation settlement.