Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
2.6
1.2
Journals
JNE
Special Issues
Probabilistic Safety Assessment and Management of Nuclear Facilities
share announcement

Probabilistic Safety Assessment and Management of Nuclear Facilities

A special issue of Journal of Nuclear Engineering (ISSN 2673-4362).

Deadline for manuscript submissions: 15 September 2025 | Viewed by 1814

Special Issue Editors

Prof. Dr. Enrico Zio

E-Mail Website
Guest Editor
1. Centre de Recherce sur les Risques et les Crises (CRC), MINES Paris-PSL Université, 06904 Paris, France
2. Energy Department, Politecnico di Milano, Via La Masa 34, 20156 Milano, Italy
Interests: risk assessment; reliability analysis; simulation; artificial intelligence; nuclear systems
Special Issues, Collections and Topics in MDPI journals
Dr. Ibrahim Ahmed

E-Mail Website
Guest Editor
Energy Department, Politecnico di Milano, Via La Masa 34, 20156 Milano, Italy
Interests: nuclear systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The probabilistic safety assessment and management of nuclear facilities must be rigorous and reliable to support robust design practices and informed decision-making. This Special Issue aims to present recent advancements in the methodologies and techniques used in reliability and safety analyses and the quantitative risk assessment and management of nuclear facilities and systems. Topics of interest include, but are not limited to, the following:

  • Risk assessment methods;
  • Internal-event risk assessments;
  • External- and natural-hazard risk assessments;
  • Climate change risk assessments;
  • Uncertainty and sensitivity analyses;
  • Active and passive system reliability;
  • Structural reliability and health management;
  • Disaster management;
  • Resilience engineering;
  • Physical and cyber security;
  • Risk-based decision-making processes.

This Special Issue is inspired by the works presented at the PSAM17&ASRAM2024 Conference held in Sendai, Japan, from October 7 to 11, 2024. Extended versions of selected works presented at that conference will be considered. Contributions from other researchers and practitioners beyond the conference participants are also welcome.

Prof. Dr. Enrico Zio
Dr. Ibrahim Ahmed
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Nuclear Engineering is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • probabilistic safety assessment
  • risk management
  • reliability
  • safety
  • nuclear facilities
  • nuclear systems

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (3 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

18 pages, 2029 KiB  
Article
Development of Importance Measures Reflecting the Risk Triplet in Dynamic Probabilistic Risk Assessment: A Case Study Using MELCOR and RAPID
by Xiaoyu Zheng, Hitoshi Tamaki, Yasuteru Sibamoto, Yu Maruyama, Tsuyoshi Takada, Takafumi Narukawa and Takashi Takata
J. Nucl. Eng. 2025, 6(3), 21; https://doi.org/10.3390/jne6030021 - 28 Jun 2025
Viewed by 113
Abstract
While traditional risk importance measures in probabilistic risk assessment are effective for ranking safety-significant components, they often overlook critical aspects such as the timing of accident progression and consequences. Dynamic probabilistic risk assessment offers a framework to quantify such risk information, but standardized [...] Read more.
While traditional risk importance measures in probabilistic risk assessment are effective for ranking safety-significant components, they often overlook critical aspects such as the timing of accident progression and consequences. Dynamic probabilistic risk assessment offers a framework to quantify such risk information, but standardized approaches for estimating risk importance measures remain underdeveloped. This study addresses this gap by: (1) reviewing traditional risk importance measures and their regulatory applications, highlighting their limitations, and introducing newly proposed risk-triplet-based risk importance measures, consisting of timing-based worth, frequency-based worth, and consequence-based worth; (2) conducting a case study of Level 2 dynamic probabilistic risk assessment using the Japan Atomic Energy Agency’s RAPID tool coupled with the severe accident code of MELCOR 2.2 to simulate a station blackout scenario in a boiling water reactor, generating probabilistically sampled sequences with quantified timing, frequency, and consequence of source term release; (3) demonstrating that the new risk importance measures provide differentiated insights into risk significance, enabling multidimensional prioritization of systems and mitigation strategies; for example, the timing-based worth quantifies the delay effect of mitigation systems, and the consequence-based worth evaluates consequence-mitigating potential. This study underscores the potential of dynamic probabilistic risk assessment and risk-triplet-based risk importance measures to support risk-informed and performance-based regulatory decision-making, particularly in contexts where the timing and severity of accident consequences are critical. Full article
(This article belongs to the Special Issue Probabilistic Safety Assessment and Management of Nuclear Facilities)
►▼ Show Figures

Figure 1

14 pages, 2534 KiB  
Article
Dynamic Probabilistic Risk Assessment of Passive Safety Systems for LOCA Analysis Using EMRALD
by Saikat Basak and Lixuan Lu
J. Nucl. Eng. 2025, 6(2), 18; https://doi.org/10.3390/jne6020018 - 13 Jun 2025
Viewed by 300
Abstract
This research explores Dynamic Probabilistic Risk Assessment (DPRA) using EMRALD to evaluate the reliability and safety of passive safety systems in nuclear reactors, with a focus on mitigating Loss of Coolant Accidents (LOCAs). The BWRX-300 Small Modular Reactor (SMR) is used as an [...] Read more.
This research explores Dynamic Probabilistic Risk Assessment (DPRA) using EMRALD to evaluate the reliability and safety of passive safety systems in nuclear reactors, with a focus on mitigating Loss of Coolant Accidents (LOCAs). The BWRX-300 Small Modular Reactor (SMR) is used as an example to illustrate the proposed DPRA methodology, which is broadly applicable for enhancing traditional Probabilistic Safety Assessment (PSA). Unlike static PSA, DPRA incorporates time-dependent interactions and system dynamics, allowing for a more realistic assessment of accident progression. EMRALD enables the modelling of system failures and interactions in real time using dynamic event trees and Monte Carlo simulations. This study identifies critical vulnerabilities in passive safety systems and quantifies the Core Damage Frequency (CDF) under LOCA scenarios. The findings demonstrate the advantages of DPRA over traditional PSA in capturing complex failure mechanisms and providing a more comprehensive and accurate risk assessment. The insights gained from this research contribute to improving passive safety system designs and enhancing nuclear reactor safety strategies for next-generation reactors. Full article
(This article belongs to the Special Issue Probabilistic Safety Assessment and Management of Nuclear Facilities)
►▼ Show Figures

Figure 1

12 pages, 1640 KiB  
Article
Probabilistic Approach for Best Estimate of Fuel Rod Fracture During Loss-of-Coolant Accident
by Hiroki Tanaka, Takafumi Narukawa and Takashi Takata
J. Nucl. Eng. 2025, 6(1), 6; https://doi.org/10.3390/jne6010006 - 28 Feb 2025
Viewed by 644
Abstract
Nuclear power plant risk assessments rely on conservative deterministic criteria for core-damage determination despite significant advancements in plant response and system analyses. This study proposes a probabilistic approach to determine fuel rod fracture during loss-of-coolant accidents (LOCAs) in light-water reactors, addressing the need [...] Read more.
Nuclear power plant risk assessments rely on conservative deterministic criteria for core-damage determination despite significant advancements in plant response and system analyses. This study proposes a probabilistic approach to determine fuel rod fracture during loss-of-coolant accidents (LOCAs) in light-water reactors, addressing the need for more rational and realistic assessments. The methodology integrates a fuel rod fracture probability estimation model with best-estimate-plus-uncertainty analysis of plant response, utilizing the stress–strength model and Monte Carlo simulations. Both stress and strength distributions are estimated through Bayesian statistical modeling, with numerical integration techniques implemented to enhance accuracy for low-frequency events. The application of this approach to a virtual dataset demonstrated that while conventional deterministic methods indicated definitive rod fracture, our probabilistic analysis revealed a more realistic fracture probability of 15.1%. This significant finding highlights the potential reduction in assessment conservatism. The proposed methodology enables a transition from conservative binary evaluations to more realistic probabilistic assessments of core damage, providing more accurate risk insights for decision-making. Full article
(This article belongs to the Special Issue Probabilistic Safety Assessment and Management of Nuclear Facilities)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-3
Back to TopTop