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Condition-based probabilistic safety assessment for maintenance decision making regarding a nuclear power plant steam generator undergoing multiple degradation mechanisms

Abstract : Condition-Based Probabilistic Safety Assessment (CB-PSA) makes use of inspections and monitoring information on Systems, Structures, and Components (SSCs) to update risk quantities. In this paper, we show the benefits of exploiting the condition-based estimates for taking maintenance decisions on a SSC undergoing multiple degradation mechanisms. To develop the method, we make reference to a spontaneous Steam Generator Tube Rupture (SGTR) Accident Scenario in a Nuclear Power Plant (NPP). The SG is susceptible to multiple degradation mechanisms, i.e., Stress Corrosion Cracking (SCC) and pitting. Tube plugging and Water Lancing and Chemical Cleaning (WL-CC) can be performed, before leading to a SGTR accident. Decisions must be taken on the maintenance strategy to perform at each inspection cycle. Results of a case study regarding SGTR show that the decisions based on the risk estimates provided by a CB-PSA approach allow controlling the SGTR risk at minimum maintenance cost.
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https://hal-mines-paristech.archives-ouvertes.fr/hal-02432537
Contributeur : Magalie Prudon <>
Soumis le : mercredi 8 janvier 2020 - 14:49:47
Dernière modification le : jeudi 24 septembre 2020 - 17:20:28

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Seyed Mojtaba Hoseyni, Francesco Di Maio, Enrico Zio. Condition-based probabilistic safety assessment for maintenance decision making regarding a nuclear power plant steam generator undergoing multiple degradation mechanisms. Reliability Engineering and System Safety, Elsevier, 2019, 191, pp.106583. ⟨10.1016/j.ress.2019.106583⟩. ⟨hal-02432537⟩

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