Application of Cloud Model Based Kalman Filtering to Determination of Crack Opening Monitoring Index of Concrete Gravity Dam
He Ju · Water Resources and Power · 2015
Traditional crack monitoring indicators method based original monitoring data has some limitations.Kalman filtering is used to denoise the original monitoring sequence.Numerical characteristic of monitoring data including expectations,entropy and hyper entropy was generated by using positive and inverse cloud generator.Numerical characteristic computing is used to realizequantitative-qualitative-quantitativetransformation.And then the safety monitoring index is determined.This method is applied to horizontal crack monitoring series of No.18 dam block in elevation 105 mof the downstream surface.The results show that the safety monitoring index obtained by the cloud model accords with objective law,and it has more advantages than the traditional small probability method.