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Integration of Fault Tree and Bayesian Network for Falling Risk of the Bridge Project—Precasting Prestressing Segmental Construction Method

  • Ying-Chun Hung
  • Tung-Tsan Chen
  • Ting-Yu Yue
Conference paper
Part of the Sustainable Civil Infrastructures book series (SUCI)

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.

Keywords

Bayesian network Fault tree Falling risks Bridge construction Precasting prestressing segmental construction method 

Notes

Acknowledgements

This research was supported by Basic Science Research Program through the Ministry of Science and Technology (NSC102-2221-E-507-007), Thanks to the Ministry of Science and Technology funding, the research process can be successfully implemented. We also thank the experts in the field of bridge engineering for providing valuable experience and recommendations for this study.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Urban Planning and LandscapeNational Quemoy UniversityJinningTaiwan (R.O.C.)
  2. 2.Department of Civil Engineering and Engineering ManagementNational Quemoy UniversityJinningTaiwan (R.O.C.)

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