Prediction Analysis for Building Deformation Based on Multiple Linear Regression Model

被引：2
|
作者：
Zhang, Bo [1 ,2 ]
Qiu, Lijun [1 ,2 ]
Zhou, Zhanxue [1 ,2 ]
机构：
[1] Hebei Univ Architecture, Zhang Jiakou 075000, Peoples R China
[2] Hebei Key Lab Diag Reconstruct & Antidisaster Civ, Zhang Jiakou 075000, Peoples R China
来源：
6TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND CIVIL ENGINEERING | 2020年 / 455卷
关键词：
multiple linear regression model; deformation monitoring; settlement deformation; floor loads;
D O I：
10.1088/1755-1315/455/1/012047
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
The settlement deformation of high-rise buildings is related to many factors, which are mainly about floor load and time. Based on the measured data of building settlement deformation in 16 periods, in this paper, the number of floors and accumulated settlement time are selected as the independent variables, and the accumulated settlement is used as the dependent variable. The data in the previous 11 periods are used as the modeling sequence to establish a multiple linear regression model and predict the deformation in the last 5 periods. The results show that if there is no fluctuation in the original sequence, the fitting and prediction results are good and meet the actual engineering requirements. It is of practical value and significance for the prediction of building deformation.
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收藏
页数：4
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