Analysis of Observat ion Data of Earth - Rockfill Dam Based on Cloud Probability Distribution Density Algorithm
Liwei Han, Hongtao Yu, Zhang Hongyang, Lee Kunghon, Cundong Xu · Journal of Engineering Science and Technology Review · 2014
Monitoring data on an earth-rockfill dam constitutes a form of spatial data.Such data include much uncertainty owing to the limitation of measurement information, material parameters, load, geometry size, initial conditions, boundary conditions and the calculation model.So the cloud probability density of the monitoring data must be addressed.In this paper, the cloud theory model was used to address the uncertainty transition between the qualitative concept and the quantitative description.Then an improved algorithm of cloud probability distribution density based on a backward cloud generator was proposed.This was used to effectively convert certain parcels of accurate data into concepts which can be described by proper qualitative linguistic values.Such qualitative description was addressed as cloud numerical characteristics--{Ex, En, He}, which could represent the characteristics of all cloud drops.The algorithm was then applied to analyze the observation data of a piezometric tube in an earth-rockfill dam.And experiment results proved that the proposed algorithm was feasible, through which, we could reveal the changing regularity of piezometric tube's water level.And the damage of the seepage in the body was able to be found out.