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An integrated probabilistic risk assessment methodology for maritime transportation of spent nuclear fuel based on event tree and hydrodynamic model

Reliability Engineering & System Safety, ISSN: 0951-8320, Vol: 227, Page: 108726
2022
  • 23
    Citations
  • 0
    Usage
  • 28
    Captures
  • 1
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    23
    • Citation Indexes
      23
  • Captures
    28
  • Mentions
    1
    • News Mentions
      1
      • News
        1

Most Recent News

New safety assessment methods for off-site transportation of spent nuclear fuel

The safety of off-site transportation of spent nuclear reactor fuel is the foundation of ensuring the back-end circulation of nuclear fuel and the sustainable development of nuclear energy. Performing risk assessment on the transportation of spent fuel can identify potential weaknesses in the system in a timely manner, so that preventive and mitigation measures can be effectively taken to reduce t

Article Description

Spent nuclear fuel maritime transportation (SNFMT) accident may cause radiation hazards to personnel, vessels, and the ocean environment. Current risk assessment methods of SNFMT lack full consideration and quantification of the risk indicators. In this work, an integrated probabilistic risk assessment (IPRA) methodology incorporating multiple risk factors-based accident probability model and public dose-based radiological consequence model quantitatively is proposed for SNFMT. First, from the sociotechnical-environmental risk perspective, the SMCETC (Ship, Management, Crew, Environment, Tank, Channel) comprehensive risk indicators are identified for ET-FT modeling. Second, considering the effects of continuous emissions, water depth, tidal cycle, and radioactive decay, a shallow water equations-based hydrodynamic model is established to simulate the radionuclide concentration in coastal water. Third, the ET-FT model-based accident frequency and the radionuclide concentration-based population radiation consequence are integrated, and subsequently the public radioactive risks are obtained. Finally, a case study is presented to demonstrate the feasibility and value of the proposed method. The time-related public radioactive risks were quantified and 28 highly safety importance risk factors were found and ranked. The proposed IPRA methodology integrates deterministic and probabilistic modeling perspectives, and provides a comprehensive risk assessment tool for SNFMT.

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