施工期大型水工系统监测数据分析与稳定性评估

【作者】 徐坤；

【导师】 施心陵； 李鹏；

【作者基本信息】 云南大学 ， 检测技术与自动化装置， 2012， 硕士

【摘要】 大型水利水电工程在施工期的安全监测对工程安全稳定性起着非常重要的作用,其监测数据和稳定性分析贯穿于工程每个阶段。由于施工期,工程所处的环境非常复杂,监测数据的预处理显得更加必要。同时,其稳定性的定量分析也难以实现。本文全面介绍了监测数据预处理的方法和措施,并建立沉降模型对大坝进行了沉降分析,最后对糯扎渡水电站3#导流洞的稳定性分析作出了定性的模糊评估。本文主要研究内容如下：(1)在监测数据预处理方面,总结了可以防止监测数据出现误差的措施,提出了可用于数据降噪的小波分析法,分析和总结了异常值的识别方法,结合工程应用对异常值中野值和突变的区分方法进行了总结,针对三种监测数据的修补方法,建立了基于回归分析和RBF神经网络的模型,并对监测数据进行了修补。(2)在建立监测数据模型的研究方面,结合糯扎渡水电站大坝C断面的工程实际,应用逐步回归法对施工期的沉降模型因子及模型进行了选择,分别建立了时空模型、空间模型和等效模型,并对模型进行分析,得出时空模型和等效模型比较适用于施工期的沉降监测。(3)在地下洞室稳定性评估的研究方面,采用层次分析法对影响稳定性的因素进行了权重分析和定性分析,建立了稳定性的模糊评估模型。针对糯扎渡水电站3#导流洞工程实例,利用该模型进行了稳定性评估,得出其评估结果为稳定。更多还原

【Abstract】 During the construction period, the safety monitoring of large water conservancy and hydropower project for engineering safety stability plays a very important role. The analysis of monitoring data and engineering stability throughout the project each phase. For the construction period, the surrounding of engineering is very complicated, so the preprocessing of monitoring data appears more necessary. At the same time, the quantitative analysis of engineering stability is also difficult to achieve. This paper comprehensive introduction the preprocessing methods and measures of monitoring data, and a settlement model for dam conducts sedimentation analysis in filling stage, has been established. In the end, for the stability analysis of the3#diversion tunnel of NuoZhaDu Hydropower Station make qualitative fuzzy assessment.In this paper, the main research contents are as follows:(1)In the preprocessing of monitoring data, some measures are summarized for preventing human factors, which leading to monitoring data errors. Wavelet analysis is presented which can be used for data reduction, The identification methods of abnormal value for data are analyzed and summarized, the outlier and mutation are distinguished combined with the engineering application. The three kinds of monitoring data mending methods are put forward, and mending the data by using the regression analysis and RBF neural network model.(2)In the establishment of model, which used for monitoring data’s research. In the construction period, combine with engineering practice of Nuozhadu Hydropower Station Dam’s Section C, for selecting the settlement model factors and the model use the stepwise regression method. The time-space model、space model and equivalent model are established and analysis. Draw the best settlement monitoring model for the construction period are time-space model equivalent model.(3)In the stability assessment of researching underground caverns, use AHP for analysis the factors’weight that affect stability, and has carried on the qualitative analysis, establish the fuzzy evaluation model for stability analysis. For the3# Diversion Tunnel of Nuozhadu Hydropower Station, evaluate its stability and the result is stable.更多还原