基于非等间距泊松曲线在沉降预测中的应用

Application of Poisson Curve Based on Unequal-space in Settlement Observation

泊松曲线是一种精度较高的沉降预测方法,但是它只能在等时距数据条件下方能使用,在工程实际中很难满足这一要求。本文采用插值法将非等时距数据转化成等时距数列,并结合高层建筑沉降监测工程实例分析,结果表明,用泊松曲线模型预测建筑物沉降量与实际沉降量比较接近,具有较高的应用价值。

The Poisson curve is a high precision settlement forcasting method, but it can only used undemeath the equal-time data conditions. It is very difficult to satisfy this request in the project. This paper uses the interpolation method to transform the unequal-time data to the equal-time data, and combine the case of high-rise buildings settlement observation. The results show that Poisson curve model＇s prediction of the settlement building is closer to the actual settlement, and have higher application value.