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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
