Hybrid Sn/Diffusion and Sn/P3 Neutronics Calculations
In this thesis we investigate coupling and preconditioning techniques for 19D hybrid neutronics calculations. Each problem is represented by two spatial regions with Sn in one region and either Diffusion (P1) or P3 in the other region. For each of these two cases we define one coupling scheme and tw...
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ndltd-tamu.edu-oai-repository.tamu.edu-1969.1-1492722013-10-04T04:55:02ZHybrid Sn/Diffusion and Sn/P3 Neutronics CalculationsManolov, SergiySnPnDiffusionNeutron TransportKrylovHybrid CalculationsIn this thesis we investigate coupling and preconditioning techniques for 19D hybrid neutronics calculations. Each problem is represented by two spatial regions with Sn in one region and either Diffusion (P1) or P3 in the other region. For each of these two cases we define one coupling scheme and two different preconditioned systems. These systems are solved with both fixed9point iteration and the GMRES Krylov method. The solution techniques are compared in terms of iteration count and computational cost. Preconditioning with a global diffusion operator is found to be very effective for the most difficult problems.Morel, Jim EAdams, Marvin LRagusa, Jean CLazarov, Raytcho2013-10-02T21:27:47Z2013-10-02T21:27:47Z2013-052013-03-14May 20132013-10-02T21:27:47ZThesistextapplication/pdfhttp://hdl.handle.net/1969.1/149272 |
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Sn Pn Diffusion Neutron Transport Krylov Hybrid Calculations |
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Sn Pn Diffusion Neutron Transport Krylov Hybrid Calculations Manolov, Sergiy Hybrid Sn/Diffusion and Sn/P3 Neutronics Calculations |
description |
In this thesis we investigate coupling and preconditioning techniques for 19D hybrid neutronics calculations. Each problem is represented by two spatial regions with Sn in one region and either Diffusion (P1) or P3 in the other region. For each of these two cases we define one coupling scheme and two different preconditioned systems. These systems are solved with both fixed9point iteration and the GMRES Krylov method. The solution techniques are compared in terms of iteration count and computational cost. Preconditioning with a global diffusion operator is found to be very effective for the most difficult problems. |
author2 |
Morel, Jim E |
author_facet |
Morel, Jim E Manolov, Sergiy |
author |
Manolov, Sergiy |
author_sort |
Manolov, Sergiy |
title |
Hybrid Sn/Diffusion and Sn/P3 Neutronics Calculations |
title_short |
Hybrid Sn/Diffusion and Sn/P3 Neutronics Calculations |
title_full |
Hybrid Sn/Diffusion and Sn/P3 Neutronics Calculations |
title_fullStr |
Hybrid Sn/Diffusion and Sn/P3 Neutronics Calculations |
title_full_unstemmed |
Hybrid Sn/Diffusion and Sn/P3 Neutronics Calculations |
title_sort |
hybrid sn/diffusion and sn/p3 neutronics calculations |
publishDate |
2013 |
url |
http://hdl.handle.net/1969.1/149272 |
work_keys_str_mv |
AT manolovsergiy hybridsndiffusionandsnp3neutronicscalculations |
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1716603953360142336 |