Prediction of foundation settlement by hyperbola-logistic superposition model
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Abstract:
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.
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