溪洛渡水电站坝基渗流监控模型与监测系统研究

发布时间：2018-07-03 19:35

本文选题：大坝安全监测 + 渗压　；参考：《长江科学院》2017年硕士论文

【摘要】：近年来随着世界水电事业的飞速发展,水利工程的建设投资越来越高,工程规模十分巨大,修建的水工建筑物朝着“高、大”的方向发展。随着水利工程所面临的技术性难题越来越突出,工程安全问题也日益显著,大坝安全监测作为保障大坝安全运行的重要手段,具有重要意义。本文通过对溪洛渡大坝坝基渗流资料的分析,预测大坝坝基的渗压情况以及发展趋势,为大坝的安全运行提供依据。具体工作内容包括:(1)通过分析溪洛渡拱坝河床坝段和岸坡坝段渗压计的监测资料,并计算帷幕后渗压系数,监测资料分析成果表明:坝基渗压系数均小于溪洛渡拱坝设计值,表明溪洛渡水电站拱坝坝基帷幕防渗效果良好。(2)根据成因分析,将坝基渗压分解为水位分量、温度分量和时效分量,分别采用逐步回归与偏最小二乘回归方法建立坝基渗压监控模型,统计模型分析结果表明:两种方法建立的监控模型拟合效果均较好,符合坝基渗压变化规律的一般认识。监控模型显示水位分量占主导地位,而随着大坝由初蓄期进入运行期,时效分量逐渐减小。(3)溪洛渡安全监测资料管理及分析云服务软件系统(简称为安全监测系统)主要用途包括数据管理、资料分析、系统管理等。本文详细介绍了监测系统的使用说明,并将坝基渗压统计模型嵌入到大坝安全监测系统中,便于实时监控并及时预测坝基渗压的变化趋势。
[Abstract]:In recent years, with the rapid development of hydropower industry in the world, the construction investment of water conservancy project is more and more high, the project scale is very large, and the hydraulic structure is developing in the direction of "high and large". As the technical problems faced by water conservancy projects become more and more prominent, the problems of engineering safety are becoming more and more prominent. As an important means to ensure the safe operation of dams, dam safety monitoring is of great significance. Based on the analysis of seepage data of Xiluodu dam foundation, the seepage pressure of dam foundation and its development trend are predicted in this paper, which provides the basis for the safe operation of the dam. The main contents are as follows: (1) by analyzing the monitoring data of the seepage gauge in the river bed and bank slope of Xiluodu arch dam, and calculating the seepage coefficient behind the curtain, the results show that the seepage pressure coefficient of the dam foundation is smaller than the design value of the Xiluodu arch dam. The results show that the curtain of the arch dam foundation of Xiluodu Hydropower Station has a good anti-seepage effect. (2) according to the cause analysis, the seepage pressure of the dam foundation is decomposed into water level component, temperature component and aging component. Stepwise regression and partial least square regression are used to establish the monitoring model of seepage pressure of dam foundation. The results of statistical model analysis show that the two methods have good fitting effect and accord with the general understanding of the law of seepage pressure change of dam foundation. The monitoring model shows that the water level component is dominant, and as the dam moves from the initial storage period to the operational stage, (3) data management and analysis of security monitoring data in Xiluodu (referred to as security monitoring system) are mainly used in data management, data analysis, system management, etc. This paper introduces the usage of the monitoring system in detail, and embeds the statistical model of seepage pressure of dam foundation into the dam safety monitoring system, which is convenient for real-time monitoring and timely predicting the changing trend of seepage pressure of dam foundation.
【学位授予单位】：长江科学院
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TV698.1

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