Application of the Bayesian Belief Nets in dam safety monitoring
Journal Title: Annals of Warsaw University of Life Sciences – SGGW. Land Reclamation - Year 2012, Vol 44, Issue 1
Abstract
The systems for earth dam monitoring should enable measurements of basic physical parameters describing the behavior of the structure, including: soil water pressure, soil stress, displacements, leaks, and drainage discharges. In the case of earth dam safety assessment, the monitoring data are used to detect any anomalies in dam behavior. In this paper, the dam safety has been analyzed using the Bayesian Nets. Two types of information: water pressure measurements and drainage discharge measurements are used in analyses. The seepage anomalies in the Klimkowka Dam were considered in demonstrate the practical advantages of using the Bayesian for monitoring data interpretation. Presented examples of the Bayesian Nets applications (forward and backward propagation) in analysis of seepage through earth dams show that this method can be an effective tool supporting an assessment of dams technical condition and monitoring of the dam safety.
Authors and Affiliations
Dorota Mirosław-Świątek, Mariusz Kembłowski, Władysław Jankowski
Keywords
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