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Data Analysis And Process Of Building Static Deformation Monitoring

Posted on:2008-03-17Degree:MasterType:Thesis
Country:ChinaCandidate:J H WuFull Text:PDF
GTID:2132360212475053Subject:Geodesy and Survey Engineering
Abstract/Summary:PDF Full Text Request
The building deformation monitoring, which can scientifically analyze and forecast the exact building deformation situation in time, is very important to the building construction and security operation management. This paper makes the main research in the data analysis and process of static deformation monitoring. Meanwhile, in combination with the practical engineering, it also studies several significant problems of building static deformation monitoring. The main content is as follows:Firstly, the thesis discusses the suitable instances of some adjustment methods, such as classical adjustment, rank defect adjustment and quasi-stable adjustment, meanwhile, studies the principles of choosing adjustment datum in different conditions. And then, it introduces the analysis methods of datum point stability, which gets common application in practice.Secondly, it presents an introduction of data modeling methods in details, which are mainly about regression analysis, time series analysis, grey model, and then, it studies the advantages, disadvantages and suitable ranges of every model. In combination with the practical engineering, the paper obtains better result by choosing the right modeling method which is able to model and forecast the data.Thirdly, this paper makes a research in method design of deformation monitoring, monitoring measurement, monitoring periods and monitoring accuracy, and then analyses the deformation data in all-round and deeply, from which the building security information is picked up.Finally, according to the establishment of data forecast modeling by deformation data, the thesis makes a entirely forecast about building deformation, and then analyses and forecasts the final deformation state and security of building.
Keywords/Search Tags:Adjustment Datum, Regression Analysis, Grey Model, Time Series, Deformation Monitoring, Safety Analysis
PDF Full Text Request
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