本文選題：地基沉降預測　切入點：等時距Pearl曲線　出處：《河北工程大學》2015年碩士論文　論文類型：學位論文

【摘要】：近年來,發(fā)生了多起由地基沉降引起的事故,給人們帶來了生命和財產(chǎn)的損失。為了保障建構(gòu)筑物的基本使用要求和人身安全,地基沉降問題越來越不容忽視,預測地基的未來沉降趨勢刻不容緩。文章介紹了大同某火力發(fā)電廠場地的工程概況、工程地質(zhì)水文地質(zhì)條件,并對該電廠建(構(gòu))筑物的沉降觀測數(shù)據(jù)進行了分析整理。根據(jù)預測模型需要等時距沉降觀測數(shù)據(jù)的計算要求,通過MATLAB軟件實現(xiàn)了五種插值計算方法:線性插值、拉格朗日插值、三次樣條插值、牛頓插值和Hermite插值的數(shù)據(jù)等時距處理,得到等時距的沉降值計算值,提高了計算精度和速度,減小了工作的難度。本文利用《建筑物地基沉降預測系統(tǒng)》軟件,對不同插值方法得到的等時距的沉降數(shù)據(jù)用于等時距的Pearl曲線擬合,結(jié)果表明,曲線擬合程度高,計算精確,根據(jù)各沉降曲線沉降計算出最終沉降量,并對五種插值方法的計算結(jié)果進行了分析對比。結(jié)果表明,五種插值方法得到的結(jié)果誤差都很小。相比較而言,綜和各點計算結(jié)果分析,拉格朗日插值方法得出的結(jié)果相對較好。等時距Pearl曲線的預測模型與實測沉降曲線吻合度高,計算結(jié)果的標準差較小,反映出Pearl曲線用于分析近S型的沉降觀測數(shù)據(jù)、預測地基沉降是比較精確可行的。
[Abstract]:In recent years, there have been many accidents caused by the foundation settlement, which has brought people the loss of life and property. In order to ensure the basic use requirements and personal safety of the building structure, the settlement problem of the foundation can not be ignored more and more. It is urgent to predict the future settlement trend of the foundation. This paper introduces the general situation of engineering, engineering geology, hydrogeology and geological conditions of a thermal power plant in Datong. The settlement observation data of the building (construction) in this power plant are analyzed and arranged. According to the calculation requirements of the prediction model, five interpolation methods are realized by MATLAB software: linear interpolation, linear interpolation, linear interpolation, linear interpolation, linear interpolation, linear interpolation, linear interpolation, linear interpolation, linear interpolation, linear interpolation, linear interpolation, linear interpolation and linear interpolation. Lagrange interpolation, cubic spline interpolation, Newton interpolation and Hermite interpolation of the data equal time interval processing, the equal time interval settlement value calculated values, improve the accuracy and speed of calculation, The software "Building Foundation settlement Prediction system" is used to fit the Pearl curve of equal time interval obtained by different interpolation methods. The results show that the curve fitting degree is high and the calculation is accurate. The final settlement is calculated according to each settlement curve, and the calculation results of the five interpolation methods are analyzed and compared. The results show that the errors obtained by the five interpolation methods are all very small. The Lagrange interpolation method is relatively good. The prediction model of equal-time interval Pearl curve is in good agreement with the measured settlement curve, and the standard deviation of the calculated result is small. It reflects that the Pearl curve is used to analyze the observation data of near S type settlement, and it is more accurate and feasible to predict the settlement of foundation.
【學位授予單位】：河北工程大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TU433

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