建筑物沉降观测方法及变形预测研究

Research on building settlement observation methods and deformation prediction

当前为保证大型建筑物在施工期间的安全投入使用,还需在后期的运营中做定期的安全检测,以确保建筑物的形变量在安全范围内。因此,本文根据回归方程模型,将大型建筑物的变形趋势和沉降度可视化,同时,基于我国发展周期较短而导致的建筑物检测数据相对有偏向性的特点,选取灰色理论进行预测分析,最后利用灰色理论的改进模型分别对不同地点、不同地质条件的两个位置上的建筑物沉降观测数据建立模型,以实例验证线性回归模型的可靠性和可预期性,对建筑物的沉降监测做到提前防范。

To ensure the safe use of large buildings during construction,regular safety inspections need to be conducted during later operations to ensure that the building's deformation is within a safe range.Therefore,based on the regression equation model,this article visualizes the deformation trend and settlement degree of large buildings.At the same time,based on the relatively biased characteristics of building detection data caused by the short development cycle in China,grey theory is selected for predictive analysis.Finally,an improved model of grey theory is used to establish models for building settlement observation data at two locations with different geological conditions,verify the reliability and predictability of linear regression models through examples,and achieve early prevention of building settlement monitoring.