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《Standardization for Surveying and Mapping》 2005-01
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Methods for Comprehensive Analysis of Subsiding Survey Data of High Building

WU Lin LI Tianwen CHEN Jianbing  
Subsiding survey data of high building is comprehensively analyzed,and the subsiding trends and regularity are illustrated.All the works done in this paper are absolutely necessary to construct buildings and to assess the quality of building projects.The linear regression model, time-sequence model,and gray-system model have been used when we analyze the subsiding survey data.It concludes from sample practical building projects that all the above 3 models can be used to predict subsiding trends of the building;while from the predicted residual error,we can see that time-sequence model,and gray-system model have advantage over linear regression model and that from reliability,the gray-system will be superior to linear regression model and time-sequence model in terms of prediction of the regularity of building subsiding.
【Fund】: 教育部重大科学技术研究项目;; 国家自然科学基金项目(49971065)
【CateGory Index】: TU433
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