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2022, S1, v.53 133-138
水工建筑物表面变形与库水位变化相关性研究
基金项目(Foundation):
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DOI: 10.13928/j.cnki.wrahe.2022.S1.020
摘要:

某水电站地处高寒、高海拔、高地震烈度区,在这样的环境中建157 m高的面板堆石坝尚属首次。通过对其水工建筑物表面变形定期进行观测并及时分析、总结表面变形规律,分析研究库水位升降对水工建筑物的影响效应,尤其是在主汛期和枯水期加密监测,及时收集全站仪自动化测站和人工观测的表面变形数据以及库水位监测数据,深入分析在库水位达到设计或校核洪水位、正常蓄水位及死水位情况下对各水工建筑物表面变形观测数据造成的影响,为各水工建筑物的安全运行提供实时、高效、真实的基础数据支撑和位移变化趋势预测预判。通过引入全站仪自动化监测系统,监测点数据成果连续、可靠,且数据量大、精度高,有利于掌握水工建筑物的形态变化和表面变形规律,确保水电站安全、平稳运行。

Abstract:

A hydropower station is located in an area of high cold, high altitude and seismic intensity. It is the first time to build a 157 m high face rockfill dam in this environment. Through regular observation of surface deformation of hydraulic structures, timely analysis and summary of surface deformation laws, the effects of reservoir water level rise and fall on hydraulic structures are analyzed, especially in intensive monitoring during the main flood season and dry season, and surface deformation data and reservoir water level monitoring data observed by automatic and manual stations of the whole station are collected in time. In-depth analysis is carried out on the influence of design or check flood level, normal water level and dead water level on surface deformation observation data of hydraulic structures, so as to provide real-time, efficient and real basic data support and prediction of displacement change trend for safe operation of hydraulic structures. By introducing the automatic monitoring system of total station instrument, the results of monitoring point data are continuous, reliable, with large amount of data and high accuracy, which is conducive to grasping the shape change and surface deformation law of hydraulic structures and ensuring safe and smooth operation of hydropower stations.

参考文献

[1] 顾春丰,石硕.某水电站表面变形全站仪自动监测系统采购项目施工组织设计[R].北京:中国电建集团北京勘测设计研究院有限公司,2018.

[2] 电力工业部水电水利规划设计总院.水工建筑物荷载设计规范:DL 5077—1997[S].北京:中华人民共和国电力工业部,1998.

基本信息:

DOI:10.13928/j.cnki.wrahe.2022.S1.020

中图分类号:TV698.11

引用信息:

[1]刘玉磊,李楠楠,张威.水工建筑物表面变形与库水位变化相关性研究[J].水利水电技术(中英文),2022,53(S1):133-138.DOI:10.13928/j.cnki.wrahe.2022.S1.020.

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