Progress toward Monte Carlo–thermal hydraulic coupling using low-order nonlinear diffusion acceleration methods
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Forget_MC_Themal_Hydraulics_ANE.pdf
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810.84 KB
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Checksum (MD5)
1171c15ddc64a40d3bb904a25e2610af
Author(s)
Herman, Bryan R
Forget, Benoit Robert Yves
Smith, Kord S.
Date Issued
November 2014
Journal
Annals of Nuclear Energy
Publisher
Elsevier
Citation
Herman, Bryan R. et al. “Progress Toward Monte Carlo–thermal Hydraulic Coupling Using Low-Order Nonlinear Diffusion Acceleration Methods.” Annals of Nuclear Energy 84 (October 2015): 63–72 © 2014 Elsevier
Version
Author's final manuscript
Abstract
A new approach for coupled Monte Carlo (MC) and thermal hydraulics (TH) simulations is proposed using low-order nonlinear diffusion acceleration methods. This approach uses new features such as coarse mesh finite difference diffusion (CMFD), multipole representation for fuel temperature feedback on microscopic cross sections, and support vector machine learning algorithms (SVM) for iterations between CMFD and TH equations. The multipole representation method showed small differences of about 0.3% root mean square (RMS) error in converged assembly source distribution compared to a conventional MC simulation with ACE data at the same temperature. This is within two standard deviations of the real uncertainty. Eigenvalue differences were on the order of 10 pcm. Support vector machine regression was performed on-the-fly during MC simulations. Regression results of macroscopic cross sections parametrized by coolant density and fuel temperature were successful and eliminated the need of partial derivative tables generated from lattice codes. All of these new tools were integrated together to perform MC-CMFD-TH-SVM iterations. Results showed that inner iterations between CMFD-TH-SVM are needed to obtain a stable solution.
MIT Department
Massachusetts Institute of Technology. Department of Nuclear Science and Engineering
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/J.ANUCENE.2014.10.029
