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Success criteria analysis in support of probabilistic risk assessment for nuclear power plants: application on SGTR accident

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Abstract

Success criteria analysis (SCA) bridges the gap between deterministic and probabilistic approaches for risk assessment of complex systems. To develop a risk model, SCA evaluates systems behaviour in response to postulated accidents using deterministic approach to provide required information for the probabilistic model. A systematic framework is proposed in this article for extracting the front line systems success criteria. In this regard, available approaches are critically reviewed and technical challenges are discussed. Application of the proposed methodology is demonstrated on a typical Westinghouse-type nuclear power plant. Steam generator tube rupture is selected as the postulated accident. The methodology is comprehensive and general; therefore, it can be implemented on the other types of plants and complex systems.

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Authors and Affiliations

  1. East Tehran Branch, Islamic Azad University, Tehran, Iran

    Seyed Mohsen Hoseyni, Kaveh Karimi, Seyed Mojtaba Hoseyni & Meisam Mohammadnia

Authors
  1. Seyed Mohsen Hoseyni
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  2. Kaveh Karimi
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  3. Seyed Mojtaba Hoseyni
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  4. Meisam Mohammadnia
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Correspondence to Seyed Mohsen Hoseyni.

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Hoseyni, S.M., Karimi, K., Hoseyni, S.M. et al. Success criteria analysis in support of probabilistic risk assessment for nuclear power plants: application on SGTR accident. NUCL SCI TECH 28, 33 (2017). https://doi.org/10.1007/s41365-017-0193-z

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  • DOI: https://doi.org/10.1007/s41365-017-0193-z

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