A quantified validation of CTF void fraction and equilibrium quality predictions is performed using the NUPEC BFBT database. Standard code modeling options are used, and there is no calibration to the experimental data. Each of the 392 steady state BFBT void distribution experiments has a specified geometry, power distribution, and spacer grid design. All experiments are modeled in CTF, but some cases that have oscillations are excluded from the final analyses. Three quantities of interest are compared between the experiment and the code predictions: exit equilibrium quality, average exit void fraction, and subchannel void fractions. The results indicate that, in general, CTF accurately predicts equilibrium quality but overpredicts void content. By splitting the subchannels into different groups, it is shown that subchannels near unheated surfaces are the least accurately modeled, especially for cases which have a high concentration of unheated surfaces. Though the BFBT database is the most complete source of experimental data for fine-mesh void distributions, the measurements are asymmetric even for symmetric geometry and boundary conditions. A method is proposed to approximate the experimental uncertainties which led to these asymmetries.
Skip Nav Destination
2018 26th International Conference on Nuclear Engineering
July 22–26, 2018
London, England
Conference Sponsors:
- Nuclear Engineering Division
ISBN:
978-0-7918-5153-1
PROCEEDINGS PAPER
Validation of CTF Void Predictions Using the BFBT Database Available to Purchase
Nathan W. Porter,
Nathan W. Porter
North Carolina State University, Raleigh, NC
Search for other works by this author on:
Maria N. Avramova,
Maria N. Avramova
North Carolina State University, Raleigh, NC
Search for other works by this author on:
Vincent A. Mousseau
Vincent A. Mousseau
Sandia National Laboratories, Albuquerque, NM
Search for other works by this author on:
Nathan W. Porter
North Carolina State University, Raleigh, NC
Maria N. Avramova
North Carolina State University, Raleigh, NC
Vincent A. Mousseau
Sandia National Laboratories, Albuquerque, NM
Paper No:
ICONE26-81869, V009T16A059; 10 pages
Published Online:
October 24, 2018
Citation
Porter, NW, Avramova, MN, & Mousseau, VA. "Validation of CTF Void Predictions Using the BFBT Database." Proceedings of the 2018 26th International Conference on Nuclear Engineering. Volume 9: Student Paper Competition. London, England. July 22–26, 2018. V009T16A059. ASME. https://doi.org/10.1115/ICONE26-81869
Download citation file:
24
Views
Related Proceedings Papers
Related Articles
Probabilistic Printability Maps for Laser Powder Bed Fusion Via Functional Calibration and Uncertainty Propagation
J. Comput. Inf. Sci. Eng (November,2024)
A Computational and Cellular Solids Approach to the Stiffness-Based Design of Bone Scaffolds
J Biomech Eng (September,2011)
Finite Element Analysis Using Nonconforming Mesh
J. Comput. Inf. Sci. Eng (September,2008)
Related Chapters
Completing the Picture
Air Engines: The History, Science, and Reality of the Perfect Engine
Research and Implementation of Collaborative Development Platform for Complex System
Proceedings of the 2010 International Conference on Mechanical, Industrial, and Manufacturing Technologies (MIMT 2010)
Development and Structure of the German Common Cause Failure Data Pool (PSAM-0020)
Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM)