The Risk Analysis of Dam Gate Based on Bayesian Network and Hydraulic Mechanics

Abstract

Risk analysis is an important part of the dam safety risk management. The uncertain factors causing the failure of the gate is very complex, including the gate design and manufacturing, management operation, some man-made factors, etc. The traditional risk analysis method has certain limitation. Bayesian networks can quickly and effectively solve the failure probability of the system and for a direct analysis on the effects of every system component by a two-side inference, so as to locate the system weakness and adopt effective measures. This paper based on Bayesian network, through the example of Bayesian network in the application of dam gate risk analysis.