基于等时距Pearl曲线的某电厂沉降预测

发布时间：2018-03-16 13:29

本文选题：地基沉降预测　切入点：等时距Pearl曲线　出处：《河北工程大学》2015年硕士论文　论文类型：学位论文

【摘要】：近年来,发生了多起由地基沉降引起的事故,给人们带来了生命和财产的损失。为了保障建构筑物的基本使用要求和人身安全,地基沉降问题越来越不容忽视,预测地基的未来沉降趋势刻不容缓。文章介绍了大同某火力发电厂场地的工程概况、工程地质水文地质条件,并对该电厂建(构)筑物的沉降观测数据进行了分析整理。根据预测模型需要等时距沉降观测数据的计算要求,通过MATLAB软件实现了五种插值计算方法:线性插值、拉格朗日插值、三次样条插值、牛顿插值和Hermite插值的数据等时距处理,得到等时距的沉降值计算值,提高了计算精度和速度,减小了工作的难度。本文利用《建筑物地基沉降预测系统》软件,对不同插值方法得到的等时距的沉降数据用于等时距的Pearl曲线拟合,结果表明,曲线拟合程度高,计算精确,根据各沉降曲线沉降计算出最终沉降量,并对五种插值方法的计算结果进行了分析对比。结果表明,五种插值方法得到的结果误差都很小。相比较而言,综和各点计算结果分析,拉格朗日插值方法得出的结果相对较好。等时距Pearl曲线的预测模型与实测沉降曲线吻合度高,计算结果的标准差较小,反映出Pearl曲线用于分析近S型的沉降观测数据、预测地基沉降是比较精确可行的。
[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.
【学位授予单位】：河北工程大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TU433

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