Study On Safety Monitoring Method Of Concrete Dam In Initial Stage

Dam safety monitoring is based on the sensor network embedded in the dam,measuring the structure of static or dynamic response,environment variables,and the monitoring data obtained are analyzed,in order to realize the monitoring and control of structural health.And according to the monitoring data,we monitor and control the structural health status.According to dam safety monitoring,we can find the potential and tendency of the structure in time,and it provides the basis for the timely engineering measures to reduce the probability of engineering accident.When the concrete dam is in the early operation,the change of parameters in dam materials are larger due to changes in the environment variables are generally larger,leading to the relationship between quantity and effect of dam environment is more complex,which increases the difficulty of establishing model of dam monitoring.In addition,due to the limited monitoring data of concrete dam in the initial stage of operation,the traditional dam monitoring model and monitoring indicators are often difficult to apply.According to statistics,the probability of concrete dam failure in the early stage of operation was significantly higher than that in normal operation.Therefore,it is very important to study the safety monitoring methodin the early stage of concrete dam.This paper first elaborates the basic theory and calculation principle of the monitoring project,take the temple dam as an example,we make the qualitative analysis of its environmental capacity,horizontal displacement and vertical displacement monitoring data.According to the characteristics that early operation on the relation between environment and the amount of dam effect is complex,we respectively establish minimum cross-sectional squares estimation model and extreme learning machine displacement monitoring model based on minimum cut squares estimation theory and artificial neural network in the limit of machine learning algorithms,the vertical displacement monitoring data in the early rungeneration dam is used to forecast Temple fitting simulation analysis and displacement.The dam safety monitoring indexes are crucial to judge the running state of the dam and make accurate identification of danger.The existing monitoring indicators are generally required to be sufficient to ensure the accuracy of the statistical characteristics of the sample This paper uses the Bootstrap method,by resampling structural safety monitoring data of self-help samples,the kernel density estimation of the expanded sample(KDE)method is used to estimate the probability density function.On the basis of this,the paper puts forward the method of the dam safety monitoring index.Based on the measured data of a concrete dam,the proposed method is validated.Compared with the traditional method used in the operation of the early stage of concrete dam,safety monitoring indicators are analyzed and compared,which proves the validity and feasibility of the method.