Multidimensional Monitoring And Diagnosis Method For Safety Of Seepage Behavior Of Roller Compacted Concrete Gravity Dam

As a new type of dam developed in China in recent decades,roller compacted concrete gravity dams have been widely promoted because they take into account the characteristics of normal concrete dams such as high strength,good seepage resistance,simple procedures and fast construction of earth-rock dams.With the evolution of the service behavior of RCC dams,various safety problems have emerged one after another,and accurate monitoring of them has become a scientific problem that needs to be solved urgently.However,due to the short history of construction of RCC dams,the research on its safety monitoring is not yet mature.In actual projects,conventional concrete dam safety monitoring theories and methods are still used to analyze them,so roller compaction is not considered.The structural characteristics of the concrete dam itself,and the monitoring data are often affected by noise disturbances,the accuracy of the monitoring results is questioned.Therefore,it is urgent to carry out research on the multi-dimensional safety monitoring and evaluation of the operation behavior of RCC gravity dams.This article mainly studies The content is as follows:(1)In view of the unavoidable influence of noise disturbance on the monitoring signal of RCC gravity dam,the wavelet theory is introduced to reduce the noise.At the same time,a new threshold function is constructed based on the defects of the threshold function in conventional wavelet noise reduction.,By comparing and selecting the noise reduction effect of the new threshold function and the combination of different decomposition layers,and then selecting the optimal combination,and then combining it with the BP neural network model,and establishing a large scale based on the combination of improved wavelet noise reduction and BP neural network The dam safety monitoring model is applied to an existing roller compacted concrete dam,which verifies the validity of the model built in this paper.(2)Considering that the layer is the weak link of the RCC gravity dam,this paper takes its seepage monitoring as the research object,and focuses on the influence of the layer on the seepage of the RCC gravity dam.While analyzing the lagging influence function of its seepage monitoring effect,The mathematical relationship between the equivalent water level and the equivalent rainfall of the dam is deduced;accordingly,a RCC gravity dam seepage safety monitoring model considering the effect of layer influence is established.(3)Aiming at the shortcomings of key index determination methods such as index membership and weighting in the performance safety evaluation of RCC dams,this paper introduces the unit constraint function and uses the G1 method and the entropy weight method to optimize the combination of weights;While improving the subordination and normalization of the RCC gravity dam’s performance safety indicators,the cloud model theory is used to quantify its various indicators,and then a comprehensive RCC gravity dam performance safety integration based on multi-dimensional monitoring information is proposed.Evaluation method.