ABSTRACT
This research expounds the basic theory and construction process of the Bayesian network model to construct the probability and importance of risk analysis assessment system for predicting the risk of concrete beam bridge structural disease factors. Finally, combined with engineering examples, the concrete beam bridge with many disease factors and complex influence factors is taken as the research object to establish a model based on Bayesian network for comprehensive evaluation of concrete beam bridge disease risk. It provides a reference for risk prediction and prevention of concrete beam bridge structures.
