遗传算法在泊松曲线沉降预测模型中的应用

The Application of GA in Parameter Fitness of Poisson's Prediction Model for Settlement

以某基础沉降监测数据为基础,通过遗传算法拟合泊松曲线中的参数,得到该基础沉降预测的泊松曲线模型。结果表明,所建模型与实测数据吻合较好,本文所提方法简单易行。该模型可对今后基础的沉降进行预测,也为监测设计及施工提供基础。

Based on the monitoring data of one foundation,the parameters of Poisson＇s prediction model for settlement are fitted by GA.Calculations show that the model agree well with monitoring data and the method proposed in this paper is feasible and simple.This model could provide basic data for monitoring design and prediction of foundation settlement.The paper has a certain reference value for similar work.