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dc.contributor.authorPrinsloo, Rian Hendrik
dc.date.accessioned2013-11-19T12:14:00Z
dc.date.available2013-11-19T12:14:00Z
dc.date.issued2012
dc.identifier.urihttp://hdl.handle.net/10394/9533
dc.descriptionThesis(PhD (Reactor Science))--North-West University, Potchefstroom Campus, 2013
dc.description.abstractTransverse-integrated nodal di usion methods currently represent the standard in full core neutronic simulation. The primary shortcoming of this approach is the utilization of the quadratic transverse leakage approximation. This approach, although proven to work well for typical LWR problems, is not consistent with the formulation of nodal methods and can cause accuracy and convergence problems. In this work, an improved, consistent quadratic leakage approximation is formulated, which derives from the class of higher-order nodal methods developed some years ago. In this thesis a number of iteration schemes are developed around this consistent quadratic leakage approximation which yields accurate node average results in much improved calculational times. The most promising of these iteration schemes results from utilizing the consistent leakage approximation as a correction method to the standard quadratic leakage approximation. Numerical results are demonstrated on a set of benchmark problems and further applied to realistic reactor problems for particularly the SAFARI-1 reactor operating at Necsa, South Africa. The nal optimal solution strategy is packaged into a standalone module which may be simply coupled to existing nodal di usion codes, illustrated via coupling of the module to the OSCAR-4 code system developed at Necsa and utilized for the calculational support of a number of operating research reactors around the world.en_US
dc.language.isoenen_US
dc.publisherNorth-West University
dc.subjectTransverse leakageen_US
dc.subjectNodal di ffusionen_US
dc.subjectHigher order methodsen_US
dc.titleA practical implementation of the higher–order transverse–integrated nodal diffusion methoden
dc.typeThesisen_US
dc.description.thesistypeDoctoralen_US


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