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低热水泥碾压混凝土坝适应性智能通水策略研究
引用本文:林鹏,李明,刘科,欧阳建树,杨宗立,乔雨.低热水泥碾压混凝土坝适应性智能通水策略研究[J].水利学报,2022,53(9):1028-1038.
作者姓名:林鹏  李明  刘科  欧阳建树  杨宗立  乔雨
作者单位:清华大学 水利水电工程系, 北京 100084;中国三峡建工(集团)有限公司, 四川 成都 610000;清华大学 水利水电工程系, 北京 100084;中国长江三峡集团有限公司 科学技术研究院, 北京 101100
基金项目:中国长江三峡集团公司科研项目(WDD0578,WDD/0490,BHT/0805)
摘    要:开展低热水泥碾压混凝土坝的温控特性和适应性智能通水策略研究,对干热河谷环境下大坝优质高效施工、温控防裂具有重要意义。本文首先分析了低热水泥碾压混凝土的温控防裂难度和挑战,讨论了低热水泥碾压混凝土在施工期的温度场和应力场计算方法,结合智能通水技术提出了相应的适应性智能通水策略。以乌东德水电站低热碾压混凝土二道坝的温控防裂为例,基于全坝温度场和应力场模拟,揭示了全坝不同分区温度发展规律和温度应力特征;通过应用智能通水2.0系统,在乌东德二道坝实行分区适应性通水。现场监测与仿真分析结果对比表明,采用适应性智能通水后最高温度符合率达100%,能够较好满足干热河谷环境下适应性温控防裂要求,大幅简化了施工工艺,提高了效率,电站蓄水过程监测数据显示二道坝安全有保障,研究成果可供同类工程借鉴参考。

关 键 词:低热水泥  碾压混凝土  智能通水  适应性温控  乌东德水电站
收稿时间:2022/3/12 0:00:00

Study on adaptive intelligent cooling strategy for low-heat cement RCC
LIN Peng,LI Ming,LIU Ke,OUYANG Jianshu,YANG Zongli,QIAO Yu.Study on adaptive intelligent cooling strategy for low-heat cement RCC[J].Journal of Hydraulic Engineering,2022,53(9):1028-1038.
Authors:LIN Peng  LI Ming  LIU Ke  OUYANG Jianshu  YANG Zongli  QIAO Yu
Affiliation:Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China;China Three Gorges Construction Engineering Corporation Co., Ltd., Chengdu 610000, China;Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China;China Three Gorges Corporation Science and Technology Research Institute, Beijing 101100, China
Abstract:Study on temperature control characteristics and adaptive intelligent cooling strategy for low-heat cement RCC is of great significance for dam cracking control in dry-hot valley environment. This study analyzes challenges and difficulties for low-heat cement RCC cracking control, proposes numerical analysis method of dam temperature and stress field during construction period, and raise the adaptive intelligent cooling strategy. Base on Wudongde low-heat cement RCC secondary gravity dam project, temperature and stress change characteristics of different zones of the whole dam are revealed by 3D simulation. By applying self-developed intelligent cooling 2.0 system, regional adaptive intelligent cooling is realized in Wudongde secondary dam. Field monitoring and simulation analysis result show that the maximum temperature coincidence rate reaches 100%, indicating that the adaptive intelligent cooling strategy can meet the requirements of cracking prevention in dry-hot valley environment. This study promotes simplification of RCC dam construction technology and improves concrete quality and efficiency. Monitoring data during water storage process shows that the safety of Wudongde secondary dam is guaranteed, and the results can be used for reference for similar projects worldwide.
Keywords:low-heat cement  RCC  intelligent cooling  adaptive cooling  Wudongde hydropower station
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