分区回归模型在建筑倾斜预测中的应用

Application of District Regression Model in Building Inclination Prediction

随着我国城市化进程加快,高层建筑日益增多,相关建筑倾斜观测显得尤为重要。由于建筑物周边地物紧密、外部结构复杂,常规外部设站的方法往往难以达到监测要求。本文通过建筑物基础沉降规律研究,在平面回归拟合法的基础上建立分区回归模型预测建筑物倾斜状态。实例计算表明,分区回归模型拟合残差在-0.6mm至0.4mm内,更适用于复杂情况下的建筑物倾斜预测。

With the rapid development of urbanization and the increasing number of high-rise buildings in China,the tilt observation of related buildings is particularly important.Due to the close surrounding features and complex external structure of the building,the conventional method of external station is often difficult to meet the monitoring requirements.Based on the study of the settlement law of building foundation and the plane regression fitting method,a district regression model is established to predict the inclination state of building.The example shows that the fitting residuals of the regional regression model are in the range of -0.6 mm to 0.4 mm,which is more suitable for the prediction of building inclination in complex cases.