An Optimal Compact Storage Scheme for Nonlinear Reactor Problems by FEM
dc.contributor.author | Salinas, D. | |
dc.contributor.author | Nguyen, D. | |
dc.contributor.author | Franke, R. | |
dc.date | 1976-11 | |
dc.date.accessioned | 2013-04-29T23:27:58Z | |
dc.date.available | 2013-04-29T23:27:58Z | |
dc.date.issued | 1976-11 | |
dc.identifier.uri | https://hdl.handle.net/10945/31828 | |
dc.description.sponsorship | NA | en_US |
dc.description.uri | http://archive.org/details/optimalcompactst03sali | |
dc.language.iso | en_US | |
dc.publisher | Monterey, California. Naval Postgraduate School | en_US |
dc.rights | This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. | en_US |
dc.title | An Optimal Compact Storage Scheme for Nonlinear Reactor Problems by FEM | en_US |
dc.type | Technical Report | en_US |
dc.subject.author | finite element | en_US |
dc.subject.author | nonlinear | en_US |
dc.subject.author | reactor dynamics | en_US |
dc.subject.author | optimal compact storage. | en_US |
dc.description.course | This work shows that optimal compact storage of coefficient matrices affords a significant reduction in core storage requirements over banded storage schemes. The resulting savings enables in core finite element solutions of large systems not otherwise possible. It is shown that Gears method for the stiff system of a nonlinear reactor dynamics problem is not as efficient as Crank-Nicolson integration because of substantially greater core requirements, despite its superior tracking ability. A remedy in the form of a modified implicit version of Gears method with a significant reduction in core requirements is shown to provide the same excellent accuracy as Gears method. Comparisons between the modified Gear method and the Crank-Nicolson method show the relative advantages and disadvantages of each. Finally, it is shown that although the nonlinearity encountered in this problem can be treated directly, a linear approximation of the nonlinear term affords a substantial reduction in core requirement with a relatively small cost in accuracy. | en_US |
dc.identifier.npsreport | NPS-69Zc76111 |
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