基于麻雀搜索算法和滞后效应的土石坝渗流监控模型
作者:
作者单位:

(1.西安理工大学水利水电学院,陕西 西安710048;2.西安理工大学省部共建西北旱区生态水利国家重点实验室,陕西 西安710048;3.中国电建集团华东勘测设计研究院有限公司,浙江 杭州311122 )

作者简介:

宋锦焘(1990—),男,讲师,博士,主要从事大坝安全监控与风险分析研究。E-mail: 104971@xaut.edu.cn

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中图分类号:

TV698.1; TV223.4

基金项目:

国家自然科学基金重点项目(52039008);陕西省水利科技计划(2018SLKJ-5)


Seepage pressure monitoring model for earth-rockfill dams based on sparrow search algorithm and hysteresis effect
Author:
Affiliation:

(1.Institute of Water Resources and Hydro-Electric Engineering, Xi’an University of Technology, Xi’an 710048, China;2.State Key Laboratory of Eco-Hydraulics in Northwest Arid Region of China, Xi’an University of Technology, Xi’an 710048, China;3.PowerChina Huadong Engineering Corporation Limted, Hangzhou 311122, China)

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    摘要:

    针对渗流滞后效应对土石坝渗流监控模型精度的影响问题,考虑不同滞后效应下库水位和降水量对土石坝渗流影响的差异性,分别引入正态分布函数和瑞利分布函数定量描述库水位和降水量对土石坝渗流滞后影响,构建了考虑滞后效应的土石坝渗流监控模型,并采用麻雀搜索算法求解模型滞后效应参数和回归系数的最优值。以某心墙土石坝为例,对比分析了考虑不同滞后效应及未考虑滞后效应的渗流监控模型的精度,结果表明,本文构建的渗流监控模型精度较高,更接近实际情况,能定量评价土石坝渗流的滞后效应,可用于土石坝渗流健康监测和安全性态评价。

    Abstract:

    Aiming at the problem of the influence of seepage hysteresis effect on the accuracy of seepage monitoring models of earth-rockfill dams, considering the difference between the effect of reservoir water level and precipitation on the seepage flow of earth-rockfill dams under different hysteresis effects, the normal distribution function and Rayleigh distribution function were introduced to quantitatively describe the effect of reservoir water level and precipitation on the seepage lag, and a monitoring model of seepage pressure of earth-rockfill dam considering the lag effect was constructed. In order to solve the model parameters, based on the sparrow search optimization algorithm, the optimal values of the model hysteresis parameters and regression coefficients were obtained. Taking a core wall earth-rockfill dam as an example, the accuracy of the seepage monitoring model with and without considering different hysteresis effects were compared and analyzed. The results show that the seepage pressure monitoring model constructed in this study has higher accuracy, closer to the actual situation, and can quantitatively evaluate the hysteresis effect of seepage flow in earth-rockfill dams, which can be used for safety state evaluation of seepage flow and health monitoring of earth-rockfill dams. Keywords: earth-rockfill dam; seepage flow; monitoring model; hysteresis effect; sparrow search algorithm 〖FL

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宋锦焘,袁帅,段梦强,等.基于麻雀搜索算法和滞后效应的土石坝渗流监控模型[J].水利水电科技进展,2022,42(5):52-57, 120.(SONG Jintao, YUAN Shuai, DUAN Mengqiang, et al. Seepage pressure monitoring model for earth-rockfill dams based on sparrow search algorithm and hysteresis effect[J]. Advances in Science and Technology of Water Resources,2022,42(5):52-57, 120.(in Chinese))

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  • 收稿日期:2021-08-13
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  • 在线发布日期: 2022-09-08
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