人民长江 ›› 2021, Vol. 52 ›› Issue (6): 179-182.doi: 10.16232/j.cnki.1001-4179.2021.06.030

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王甫洲水利枢纽泄水闸闸墩安全监控指标拟定

殷晓慧,费大伟,黄耀英,丁胜勇,任明喜   

  • 发布日期:2021-07-23

Preparation of safety monitoring indicators for sluice pier of Wangfuzhou hydro-junction

YIN Xiaohui, FEI Dawei, HUANG Yaoying, DING Shengyong, REN Mingxi   

  • Published:2021-07-23

摘要: 大坝安全监控指标的拟定可以有效监控水库大坝的长期运维情况,目前关于最大熵法与传统经典概率密度函数法拟定监控指标之间的对比研究成果不多。以王甫洲水利枢杻泄水闸闸墩位移监控为例,选取不利荷载工况下的监测资料系列组成小子样,分别采用K-S检验法和最大熵法确定极值概率密度函数,进而采用小概率事件法拟定监控指标。研究结果表明:由K-S检验法确定的泄水闸典型闸墩水平位移极值概率密度函数基本满足正态分布,且与最大熵法确定的概率密度函数曲线接近,对于两种概率密度函数利用小概率事件法拟定的位移监控指标也较为接近。

关键词: 监控指标; 闸墩位移; 最大熵法; K-S检验法; 王甫洲水利枢杻;

Abstract: The preparation of dam safety monitoring indicators can effectively monitor the long-term operation and maintenance of reservoir dams.At present, there are few comparative studies on the monitoring indicators prepared by the maximum entropy method and the traditional classical probability density function method.In this paper, the sluice pier of the Wangfuzhou hydro-junction was taken as an example, and the monitoring data series under adverse load conditions were selected to form small samples.The K-S test method and the maximum entropy method were used to determine the extreme probability density function, and then the small probability event method was used to draft the monitoring indicators.The research results showed that the probability density function of the extreme horizontal displacement of the typical sluice pier determined by the K-S test method basically met the normal distribution, and its probability density function curve was close to the probability density function curve determined by the maximum entropy method.The displacement monitoring indicators prepared by the two probability density functions using the small probability event method were also close.

Key words: monitoring indicators; sluice pier displacement; maximum entropy method; K-S test method; Wangfuzhou hydro-junction;