Validation and uncertainty analysis of ASTEC in early degradation phase against QUENCH-06 experiment

• Published in: Nuclear engineering and design 2023-12, Vol.414, p.112600, Article 112600
• Main Authors: Maccari, Pietro, Bersano, Andrea, Ederli, Stefano, Gabrielli, Fabrizio, Mascari, Fulvio
• Format: Article
• Language: English
• Subjects: Accuracy; ASTEC; QUENCH; Severe accident; Uncertainty
• ISSN: 0029-5493; 1872-759X
• DOI: 10.1016/j.nucengdes.2023.112600

•The ASTEC code v2.2b models for early-degradation phenomena and hot core quenching are validated against the experimental results of the QUENCH test-6 experiment.•The accuracy of the code is quantitatively evaluated by means of the Fast Fourier Transform Based Method (FFTBM).•An Uncertainty Quantification study is performed to characterize the uncertainty affecting the code results and, in addition, to provide important outcomes regarding the application of UQ to SA code simulations. Severe Accident (SA) integral codes, such as the Accident Source Term Evaluation Code (ASTEC) developed by IRSN, are used to simulate the phenomena occurring during accident progression in Nuclear Power Plants (NPPs) up to the source term evaluation. Code validation against experimental data is fundamental to carry out deterministic safety analysis and apply these codes to NPPs. In addition, in the Best Estimate Plus Uncertainty (BEPU) framework, the quantification of the results uncertainty is needed. In the framework of the IAEA CRP I31033 “Advancing the State-of-Practice in Uncertainty and Sensitivity Methodologies for Severe Accident Analysis in Water-Cooled Reactors”, the QUENCH test-6 experiment, conducted at KIT, has been selected to develop an uncertainty analysis using the ASTEC v2.2b code. The accuracy of the best-estimate ASTEC simulation was evaluated with the Fast Fourier Transform Based Method (FFTBM) against the experimental data. Then, the uncertainty of the code results was quantified by using the probabilistic propagation of input uncertainties method, through the coupling of ASTEC with RAVEN (Risk Analysis and Virtual Environment). Beyond identifying the main sources of uncertainty affecting the simulated test, the outcomes of the work also include some general discussion on the uncertainty propagation in a SA sequence.