摘要
针对传统混凝土裂缝开合度安全监控指标拟定中对监测数据利用率不高,对数据尾部特征刻画差,导致拟定监控指标精度低的问题,本文结合王甫洲水利枢纽泄水闸检修门库近一年的裂缝实测资料,首先选取涉及汛期、高低温季节等不利工况作用下的典型裂缝开合度监测资料系列作为样本数据,然后引入POT模型拟定了裂缝开合度监控指标,最后对所拟定的裂缝开合度监控指标进行分析评价.结果表明,相对于典型小概率法拟定的监控指标,由于POT模型具有对采集信息利用率高、能够更好地刻画数据分布的尾部特征的优点,该方法拟定的裂缝开合度监控指标精度更高.
In the traditional concrete crack opening and closing safety monitoring,the utilization rate of monitoring data is low,and the characteristics of the tail of the data are poorly described,which leads to the problem of low precision of the proposed monitoring index.In this paper,combined with the crack measured data of the sluicing gate of Wang Fuzhou water control project in the past year,the typical crack opening and closing monitoring data series under adverse conditions such as flood season and high and low temperature seasons were selected as sample data,and then POT model was introduced to formulate the crack opening and closing monitoring index.Finally,the proposed crack opening and closing monitoring index was analyzed and evaluated.The result shows that compared with the monitoring indicators formulated by the typical small probability method,the POT model has high utilization rate of collected information and can better describe the data score.
作者
张耀
黄耀英
何一洋
丁倩
陈飞
ZHANG Yao;HUANG Yaoying;HE Yiyang;DING Qian;CHEN Fei(School of Water Resources&Environment,China Three Gorges Univ.,Yichang 443002,China;Hubei Hangjiang Wangfuzhou HydropowerCo.,Ltd.,Xiangyang 430048,China)
出处
《三峡大学学报（自然科学版）》
CAS
2023年第1期1-5,共5页
Journal of China Three Gorges University：Natural Sciences
基金
国家自然科学基金(52179135,51779130)。
关键词
POT模型
裂缝开合度
监控指标
典型小概率法
泄水闸
POT model
crack opening and closing degree
monitoring indicators
typical small probability method
sluice gate
作者简介
通信作者:黄耀英(1977-),男,教授,博士,主要研究方向为水工程长效服役实验数值计算及调控等.E-mail:huangyaoying@sohu.com。
