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Explicitly Restarted Arnoldi's Method for Monte Carlo Nuclear Criticality Calculations.

dc.contributor.authorConlin, Jeremy Lloyden_US
dc.date.accessioned2010-01-07T16:32:31Z
dc.date.availableNO_RESTRICTIONen_US
dc.date.available2010-01-07T16:32:31Z
dc.date.issued2009en_US
dc.date.submitted2009en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/64765
dc.description.abstractA Monte Carlo implementation of explicitly restarted Arnoldi’s method is developed for estimating eigenvalues and eigenvectors of the transport-fission operator in the Boltzmann transport equation. Arnoldi’s method is an improvement over the power method which has been used for decades. Arnoldi’s method can estimate multiple eigenvalues by orthogonalising the resulting fission sources from the application of the transport-fission operator. As part of implementing Arnoldi’s method, a solution to the physically impossible—but mathematically real—negative fission sources is developed. The fission source is discretized using a first order accurate spatial approximation to allow for orthogonalization and normalization of the fission source required for Arnoldi’s method. The eigenvalue estimates from Arnoldi’s method are compared with published results for homogeneous, one-dimensional geometries, and it is found that the eigenvalue and eigenvector estimates are accurate within statistical uncertainty. The discretization of the fission sources creates an error in the eigenvalue estimates. A second order accurate spatial approximation is created to reduce the error in eigenvalue estimates. An inexact application of the transport-fission operator isalso investigated to reduce the computational expense of estimating the eigenvalues and eigenvectors. The convergence of the fission source and eigenvalue in Arnoldi’s method is analysed and compared with the power method. Arnoldi’s method is superior to the power method for convergence of the fission source and eigenvalue because both converge nearly instantly for Arnoldi’s method while the power method may require hundreds of iterations to converge. This is shown using both homogeneous and heterogeneous one-dimensional geometries with dominance ratios close to 1.en_US
dc.format.extent885843 bytes
dc.format.extent1373 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_USen_US
dc.subjectMonte Carloen_US
dc.subjectArnoldi's Methoden_US
dc.subjectPower Methoden_US
dc.subjectNuclear Criticalityen_US
dc.titleExplicitly Restarted Arnoldi's Method for Monte Carlo Nuclear Criticality Calculations.en_US
dc.typeThesisen_US
dc.description.thesisdegreenamePhDen_US
dc.description.thesisdegreedisciplineNuclear Engineering & Radiological Sciencesen_US
dc.description.thesisdegreegrantorUniversity of Michigan, Horace H. Rackham School of Graduate Studiesen_US
dc.contributor.committeememberHolloway, James Paulen_US
dc.contributor.committeememberLarsen, Edward W.en_US
dc.contributor.committeememberMartin, William R.en_US
dc.contributor.committeememberStrauss, Martin J.en_US
dc.subject.hlbsecondlevelNuclear Engineering and Radiological Sciencesen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/64765/1/jlconlin_1.pdf
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


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