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00000cam a2200000Ka 4500 |
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in00002575472 |
| 005 |
20151201150148.0 |
| 006 |
m f d |
| 007 |
cr unu|||||||| |
| 008 |
100428s2010 txu sbm 000 0 eng d |
| 035 |
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|a (OCoLC)ocn609903955
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| 035 |
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|a (OCoLC)609903955
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| 035 |
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|a (TxCM)http://hdl.handle.net/1969.1/ETD-TAMU-3024
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| 040 |
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|a TXA
|c TXA
|d UtOrBLW
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| 049 |
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|a TXAM
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| 099 |
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|a 2008
|a Thesis
|a 1969.1/ETD-TAMU-3024
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|a Rogers, Timothy James.
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|a Pwr fuel assembly optimization using adaptive simulated annealing coupled with translat /
|c by Timothy James Rogers.
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| 264 |
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|a [College Station, Tex.] :
|b [Texas A&M University],
|c [2010]
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| 300 |
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|a 1 online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 500 |
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|a "Major Subject: Nuclear Engineering"
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| 500 |
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|a Title from author supplied metadata (automated record created 2010-03-12 12:08:51).
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| 502 |
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|b Master of Science
|c Texas A&M University
|d 2008
|o http://hdl.handle.net/1969.1/ETD-TAMU-3024
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| 504 |
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|a Includes bibliographical references.
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|a Text (Thesis)
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|a Optimization methods have been developed and refined throughout many scientific fields of study. This work utilizes one such developed technique of optimization called simulated annealing to produce optimal operation parameters for a 15x15 fuel assembly to be used in an operating nuclear power reactor. The two main cases of optimization are: one that finds the optimal 235U enrichment layout of the fuel pins in the assembly and another that finds both the optimal 235U enrichments where gadolinium burnable absorber pins are also inserted. Both of these optimizations can be performed by coupling Adaptive Simulated Annealing to TransLAT which successfully searches the optimization space for a fuel assembly layout that produces the minimized pin power peaking factor. Within given time constraints this package produces optimal layouts within a given set of assumptions and constraints. Each layout is forced to maintain the fuel assembly average 235U enrichment as a constraint. Reductions in peaking factors that are produced through this method are on the order of 2% to 3% when compared to the baseline results. As with any simulated annealing approach, families of optimal layouts are produced that can be used at the engineer's discretion.
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| 500 |
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|a Electronic resource.
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4 |
|a Major nuclear engineering.
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| 653 |
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|a fuel assembly
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| 653 |
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|a simulated annealing
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| 653 |
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|a gadolinium
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| 653 |
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|a radial enrichment
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| 653 |
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|a burnable absorbers
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| 653 |
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|a optimization
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| 700 |
1 |
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|a Ragusa, Jean C.,
|e thesis advisor.
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| 856 |
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|u http://hdl.handle.net/1969.1/ETD-TAMU-3024
|z Link to OAK Trust copy
|t 0
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| 948 |
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|a cataloged
|b h
|c 2010/4/28
|d c
|e jgreene
|f 3:41:24 pm
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| 994 |
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|a C0
|b TXA
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| 999 |
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|a MARS
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| 999 |
f |
f |
|s 8b63f8b1-10f3-379d-84ef-bfd69526004e
|i 2840a978-69fe-3090-98a0-5168f96e2f4c
|t 0
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| 952 |
f |
f |
|a Texas A&M University
|b College Station
|c Electronic Resources
|d Available Online
|t 0
|e 2008 Thesis 1969.1/ETD-TAMU-3024
|h Other scheme
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| 998 |
f |
f |
|a 2008 Thesis 1969.1/ETD-TAMU-3024
|t 0
|l Available Online
|