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基于分区回归模型确定建筑物倾斜状态
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  • 英文篇名:The determination of building inclining state based on subregional regression model
  • 作者:陈梦 ; 独知行 ; 张涛
  • 英文作者:CHEN Meng;DU Zhixing;ZHANG Tao;Shandong University of Science and Technology;
  • 关键词:倾斜测量 ; 基础沉降 ; 回归平面模型 ; 分区回归模型
  • 英文关键词:tilt observation;;foundation settlement;;regression plane model;;subregional regression model
  • 中文刊名:CHTB
  • 英文刊名:Bulletin of Surveying and Mapping
  • 机构:山东科技大学;
  • 出版日期:2019-03-25
  • 出版单位:测绘通报
  • 年:2019
  • 期:No.504
  • 语种:中文;
  • 页:CHTB201903015
  • 页数:5
  • CN:03
  • ISSN:11-2246/P
  • 分类号:79-83
摘要
针对高层建筑物外部结构复杂、仪器设站困难的问题,提出了分区回归模型,拟合基础沉降面,确定建筑物倾斜状态。在建筑物内部基础上均匀布设沉降监测点,测量出各周期累积沉降量,对基础沉降进行分块拟合,获得基础沉降的局部变形特征,以此进行区域划分,最后利用基础沉降面的法线向量确定建筑物倾斜度和倾斜方向。对比传统倾斜测量结果可以看出,利用分区回归模型能满足实际工程需求,比回归平面模型具有更高的精度和适用性。
        According to the complicated structures of the city high-rise buildings and the difficulty of setting up instruments externally,this paper puts forward subregional regression model to determine building inclining state through fitting surface of foundation settlement. The monitoring points were equably distributed on the building foundation,whose settlement was measured periodically.Fitting each block of foundation settlement,the local deformation features were obtained. According to the features,the deformation regions were divided. Finally,the oblique angle and direction of buildings were calculated through the normal vector of fitting surface.Compared with traditional tilt observation methods,results show that subregional regression model can meet the actual engineering requirements and it has better precision and feasibility than regression plane model.
引文
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