Trends and Perspectives in Nuclear Thermal Hydraulics and Nuclear Safety
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Physics General".
Deadline for manuscript submissions: 30 January 2025 | Viewed by 124
Special Issue Editors
Interests: CFD; turbulence; nuclear safety; atmospheric dispersion
Interests: liquid metals; turbulence model for liquid metals; heat exchange; fission and fusion reactors; finite element method; optimal control theory
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Significant advancements in nuclear thermal hydraulics and safety have been made in recent years by introducing novel computational techniques. These include the introduction of novel methodologies such as Computational Fluid Dynamics (CFD), uncertainty quantification, and artificial intelligence.
CFD produces high-fidelity results that aid in understanding flow configuration and heat exchange, ultimately reducing safety margins. These capabilities have been integrated with state-of-the-art system thermal hydraulic codes to enhance the prediction of system transients and accident scenarios.
Uncertainty quantification has become increasingly important in evaluating the reliability of models and simulations. By accounting for uncertainties, engineers can better predict reactor behavior under various conditions, improving safety and design robustness.
Artificial intelligence (AI) has emerged as a powerful tool in nuclear thermal hydraulics, enhancing predictive capabilities and optimizing reactor operations and safety assessments. Machine learning algorithms analyze vast datasets to improve simulation accuracy and the efficiency of reactor simulation tools. AI-driven models can predict potential issues before they arise, significantly boosting safety and operational reliability.
These tools have been successfully integrated into studies involving fission reactors in operation and development, as well as novel next-generation reactor designs with fission and fusion technologies.
Dr. Antonio Cervone
Prof. Dr. Sandro Manservisi
Guest Editors
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Keywords
- CFD
- uncertainty quantification
- artificial intelligence
- system thermal hydraulics
- nuclear safety
- IV-gen nuclear reactors
- fusion reactors
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