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Study On Deformation Monitor Data Processing Method About The Foundation Pit Based On Time Series Analysis

Posted on:2009-08-07Degree:MasterType:Thesis
Country:ChinaCandidate:H B ZhouFull Text:PDF
GTID:2132360308479228Subject:Geodesy and Survey Engineering
Abstract/Summary:PDF Full Text Request
The subway is one of the better means to solve the traffic congestion.In order to guarantee the construction security during building the subway, It is very essential and important that we carries for long-term and system to monitor deformation the subway construction large-scale excavated pit, The monitor deformation final goal just is to know its changes rule and find the future deformation to makes the prompt effective analysis and the forecast by long-term accumulation's observed data. It has been the key that the experts study to know the deformation rule about the large-scale excavated pit by building foundation monitoring observation data processing in the world. In recent years, it is quite rare for building foundation deformation aspect that the application material forecast subway excavated construct large-scale pit. The paper studies some developing work on this aspect.In order to guarantee building security, the paper researches the deformation monitor data based on the time-series analysis method surrounded building subway station large-scale structure excavation pit, and then forecasts problems about building foundation the deformation quantity, develops the following investigation works:(1)Identification the rationality judgment(2)Model accuracy analysis and Statistics test(3)Forecast precision analysis(4)The time-series analysis and the conventional method compareThe paper mainly makes following progresses:(1)The time-series analysis becomes come true through the linear least squares method iterative computation based on the correlation function about probability statistic. Its theory analysis and application only consider a factor namely one-dimension time series analysis at present, it can not solve the actual problems, we need think over multi-factor and actual problems, and its model develops the multi-dimensional time-series analysis.(2)The time-series analysis model identification,the conventional F-test method,the multi-dimensional ARMA model forecast method and the parameter identification by the AIC criterion and the BIC criterion;(3)The time-series analysis is a dynamic model, it has more actual data compared to conventional model.The investigation production of modeling and prediction large-scale pit deformation monitor Liming segment in Shenyang city has important meanings about forecasting survey deformation monitor.
Keywords/Search Tags:Dynamic Data Modeling, Multi-dimension ARMA series, AIC criterion and the BIC criterion, Forecasting
PDF Full Text Request
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