Non-linear, time dependent target accuracy assessment algorithm for multi-physics, high dimensional nuclear reactor calculations

Khuwaileh, Bassam A.; Turinsky, Paul J.

doi:10.1016/j.pnucene.2019.01.023

Title: Non-linear, time dependent target accuracy assessment algorithm for multi-physics, high dimensional nuclear reactor calculations

Journal Article · 01 July 2019 · Progress in Nuclear Energy

DOI: https://doi.org/10.1016/j.pnucene.2019.01.023 · OSTI ID:1636208

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Sponsoring Organization:: USDOE

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1636208

Journal Information:: Progress in Nuclear Energy, Journal Name: Progress in Nuclear Energy Journal Issue: C Vol. 114; ISSN 0149-1970

Publisher:: ElsevierCopyright Statement

Country of Publication:: United Kingdom

Language:: English

References (11)

A globally convergent method for nonlinear programming Han, S. P. Journal of Optimization Theory and Applications, Vol. 22, Issue 3 https://doi.org/10.1007/BF00932858	journal	July 1977
A trust region method based on interior point techniques for nonlinear programming Byrd, Richard H.; Gilbert, Jean Charles; Nocedal, Jorge Mathematical Programming, Vol. 89, Issue 1 https://doi.org/10.1007/PL00011391	journal	November 2000
Nuclear data sensitivity, uncertainty and target accuracy assessment for future nuclear systems Aliberti, G.; Palmiotti, G.; Salvatores, M. Annals of Nuclear Energy, Vol. 33, Issue 8 https://doi.org/10.1016/j.anucene.2006.02.003	journal	May 2006
Advancing Inverse Sensitivity/Uncertainty Methods for Nuclear Fuel Cycle Applications Arbanas, G.; Williams, M. L.; Leal, L. C. Nuclear Data Sheets, Vol. 123 https://doi.org/10.1016/j.nds.2014.12.009	journal	January 2015
Subspace-based Inverse Uncertainty Quantification for Nuclear Data Assessment Khuwaileh, B. A.; Abdel-Khalik, H. S. Nuclear Data Sheets, Vol. 123 https://doi.org/10.1016/j.nds.2014.12.010	journal	January 2015
Nuclear Data Uncertainties for Typical LWR Fuel Assemblies and a Simple Reactor Core Rochman, D.; Leray, O.; Hursin, M. Nuclear Data Sheets, Vol. 139 https://doi.org/10.1016/j.nds.2017.01.001	journal	January 2017
Surrogate based model calibration for pressurized water reactor physics calculations Khuwaileh, Bassam A.; Turinsky, Paul J. Nuclear Engineering and Technology, Vol. 49, Issue 6 https://doi.org/10.1016/j.net.2017.08.007	journal	September 2017
Surrogate-based analysis and optimization Queipo, Nestor V.; Haftka, Raphael T.; Shyy, Wei Progress in Aerospace Sciences, Vol. 41, Issue 1 https://doi.org/10.1016/j.paerosci.2005.02.001	journal	January 2005
On the use of integral experiments for uncertainty reduction of reactor macroscopic parameters within the TMC methodology Alhassan, E.; Sjöstrand, H.; Helgesson, P. Progress in Nuclear Energy, Vol. 88 https://doi.org/10.1016/j.pnucene.2015.11.015	journal	April 2016
Active Subspace Methods in Theory and Practice: Applications to Kriging Surfaces Constantine, Paul G.; Dow, Eric; Wang, Qiqi SIAM Journal on Scientific Computing, Vol. 36, Issue 4 https://doi.org/10.1137/130916138	journal	January 2014
Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions Lagarias, Jeffrey C.; Reeds, James A.; Wright, Margaret H. SIAM Journal on Optimization, Vol. 9, Issue 1 https://doi.org/10.1137/S1052623496303470	journal	January 1998

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