Tall Building Subsidence Data Regression Analysis Methods and the Final Settlement Value Prediction

摘要：

　　In order to provide reference data for the safe construction and validation of the design method is correct, the subsidence monitoring for tall buildings (high-rise structures) which are being in the construction or completed.In this paper according to the actual settlement monitoring data, on basis of considering the construction stage, the settlement data were segmented regression analysis.The results show that in stage of load (in construction) uniform increasing, the settlement and load a linear regression analysis results are better than the results of settlement with time linear regression analysis, While in the building after the completion, the settlement with time were the logarithm function regression analysis, hyperbolic regression analysis and power function regression analysis.The regression analysis results show that hyperbola regression analysis method is of minimum variance and the regression analysis effect is best, the final settlement value was predicted and providing reference basis for construction and design.

关键词： Subsidence monitoring Regression analysis Variance Prediction

作者: Zhong Yin XU Shan Jun LIU Li Xin WU

作者单位: College of Resources and Civil Engineering Northeastern University,Shenyang 110819,China College of Resources and Civil Engineering Northeastern University,Shenyang 110819,China;Academe of

会议类型: 国际会议

会议名称: the 2012 International Conference on Vibration, Structural Engineering and Measurement (2012年振动、结构工程与测量国际会议(ICVSEM2012))

会议地点: 上海

会议语种:英文

页码: 1228-1231

在线出版日期: 2012-10-19（万方平台首次上网日期，不代表论文的发表时间）