改进温度分量的高海拔混凝土坝位移监控模型
作者:
作者单位:

(1.河海大学水灾害防御全国重点实验室,江苏 南京210098;2.河海大学水利水电学院,江苏 南京210098;3.南京水利科学研究院水灾害防御全国重点实验室,江苏 南京210029;4.水利部大坝安全管理中心,江苏 南京210029 )

作者简介:

苏荟(1997—),女,硕士研究生,主要从事水工结构安全监控研究。E-mail:1412857126@qq.com

中图分类号:

TV642

基金项目:

国家自然科学基金项目(52239009,51879169,52209165)


Displacement monitoring model of high-altitude concrete dam with improved temperature component
Author:
Affiliation:

(1.The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210098, China;2.College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China;3.The National Key Laboratory of Water Disaster Prevention, Nanjing Hydraulic Research Institute, Nanjing 210029, China;4.Dam Safety Management Center of the Ministry of Water Resources, Nanjing 210029, China)

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    摘要:

    为改善传统大坝位移监控模型应用于高海拔混凝土坝时,模型中温度分量拟合难度高且极易出现欠拟合现象的问题,在分析气温、辐射、库水温、保温层对坝体边界温度的影响,同时考虑外界温度在坝体内部传递时坝体位移呈现出的滞后效应的基础上,引入瑞利分布构造滞后函数,采用粒子群优化算法对滞后天数进行寻优,构建了改进温度分量的高海拔混凝土坝位移监控模型。以某高海拔混凝土重力坝为例,选取该坝两个不同位置处的测点对改进模型进行验证,结果表明,与传统模型相比,改进模型的拟合精度高,预测效果好,适用于高海拔混凝土坝。

    Abstract:

    To address the issues of high fitting difficulty and frequent underfitting of the temperature component in traditional dam displacement monitoring models when applied to high-altitude concrete dams. The effects of air temperature, radiation, reservoir water temperature, and insulation layers on the boundary temperature of the dam body were analyzed. Additionally, considering the lag effect of dam displacement caused by the transmission of external temperature within the dam body, a lag function was constructed using the Rayleigh distribution. The particle swarm optimization algorithm was employed to optimize the lag days, resulting in an improved displacement monitoring model for high-altitude concrete dams with improved temperature components. The improved model was validated using data from two monitoring points at different locations on a high-altitude concrete gravity dam. The results demonstrate that, compared to the traditional model, the improved model exhibits higher fitting accuracy and better predictive performance, making it suitable for application in high-altitude concrete dams.

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苏荟,胡江,李星,等.改进温度分量的高海拔混凝土坝位移监控模型[J].水利水电科技进展,2025,45(2):106-112.(SU Hui, HU Jiang, LI Xing, et al. Displacement monitoring model of high-altitude concrete dam with improved temperature component[J]. Advances in Science and Technology of Water Resources,2025,45(2):106-112.(in Chinese))

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  • 收稿日期:2024-03-24
  • 在线发布日期: 2025-03-31