Abstract
The current practice of safety management in bridge construction depends on the voluntary effort of the contractors and relevant government agencies. Due to varying degree of experience and knowledge of the inspectors, results of bridge inspection could not be analyzed in a systematic and consistent way. This study focuses on the use of Fault tree and Bayesian-network to analyze and generate a risk analysis model for falling risk in Precasting Prestressing Segmental Bridges Construction Method. After comparing the risk analysis model with the traditional inspection method, it is found that the risk analysis model is consistent with the traditional inspection method in their ability to predict falling hazards.
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