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Risk analysis for hazardous chemical vehicle-bridge transportation system: A dynamic Bayesian network model incorporating vehicle dynamics

Reliability Engineering & System Safety, ISSN: 0951-8320, Vol: 242, Page: 109732
2024
  • 12
    Citations
  • 0
    Usage
  • 27
    Captures
  • 1
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    12
  • Captures
    27
  • Mentions
    1
    • News Mentions
      1
      • 1

Most Recent News

Reports from Zhejiang University of Technology Describe Recent Advances in Mathematics (Risk Analysis for Hazardous Chemical Vehicle-bridge Transportation System: a Dynamic Bayesian Network Model Incorporating Vehicle Dynamics)

2024 FEB 06 (NewsRx) -- By a News Reporter-Staff News Editor at Disease Prevention Daily -- Research findings on Mathematics are discussed in a new

Article Description

This study aims to analyze the risk of transporting hazardous chemicals on sea-crossing bridges using a dynamic Bayesian network (DBN) model that incorporates vehicle dynamics. Firstly, the cause-consequence relationship analysis is constructed using the bow-tie (BT) model, which is then translated into a Bayesian network (BN) by mapping algorithms. Based on the dynamic model, the occurrence probabilities of rollover and sideslip under different wind speeds are calculated as conditional probabilities. Secondly, a DBN model that satisfies the Markov assumption and time invariance is established to realize short-term risk prediction. Finally, the proposed model is applied to a sea-crossing bridge in Zhejiang, and other node parameters are obtained by combining the monitoring data of the vehicle-bridge transportation system (VBTS) monitoring platform and expert experience. The results indicate that vehicle failure has the highest impact on VBTS, and unsafe driver behavior and road alignment are the most vulnerable root causes, which should receive more attention. Additionally, wind sensitivity to VBTS is significant and cannot be ignored. The proposed method can effectively address the risks and challenges posed by hazardous chemical transportation on sea-crossing bridges and provides valuable insights with practical application to enhance transportation safety.

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