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Spent nuclear fuel assembly inspecti...

Pope, Chad Lee.

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Spent nuclear fuel assembly inspection using neutron computed tomography.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Spent nuclear fuel assembly inspection using neutron computed tomography./
作者:	Pope, Chad Lee.
面頁冊數:	229 p.
附註:	Source: Dissertation Abstracts International, Volume: 72-12, Section: B, page: 7654.
Contained By:	Dissertation Abstracts International72-12B.
標題:	Nuclear engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3480431
ISBN:	9781124962726

Spent nuclear fuel assembly inspection using neutron computed tomography.
Pope, Chad Lee.

Spent nuclear fuel assembly inspection using neutron computed tomography. - 229 p.

Source: Dissertation Abstracts International, Volume: 72-12, Section: B, page: 7654.

Thesis (Ph.D.)--Idaho State University, 2011.

The research presented here focuses on spent nuclear fuel assembly inspection using neutron computed tomography. Experimental measurements involving neutron beam transmission through a spent nuclear fuel assembly serve as benchmark measurements for an MCNP simulation model. Comparison of measured results to simulation results shows good agreement. Generation of tomography images from MCNP tally results was accomplished using adapted versions of built in MATLAB algorithms. Multiple fuel assembly models were examined to provide a broad set of conclusions. Tomography images revealing assembly geometric information including the fuel element lattice structure and missing elements can be obtained using high energy neutrons. A projection difference technique was developed which reveals the substitution of unirradiated fuel elements for irradiated fuel elements, using high energy neutrons. More subtle material differences such as altering the burnup of individual elements can be identified with lower energy neutrons provided the scattered neutron contribution to the image is limited. The research results show that neutron computed tomography can be used to inspect spent nuclear fuel assemblies for the purpose of identifying anomalies such as missing elements or substituted elements. The ability to identify anomalies in spent fuel assemblies can be used to deter diversion of material by increasing the risk of early detection as well as improve reprocessing facility operations by confirming the spent fuel configuration is as expected or allowing segregation if anomalies are detected.

ISBN: 9781124962726Subjects--Topical Terms:

595435
Nuclear engineering.

Spent nuclear fuel assembly inspection using neutron computed tomography.
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502 $a Thesis (Ph.D.)--Idaho State University, 2011.
520 $a The research presented here focuses on spent nuclear fuel assembly inspection using neutron computed tomography. Experimental measurements involving neutron beam transmission through a spent nuclear fuel assembly serve as benchmark measurements for an MCNP simulation model. Comparison of measured results to simulation results shows good agreement. Generation of tomography images from MCNP tally results was accomplished using adapted versions of built in MATLAB algorithms. Multiple fuel assembly models were examined to provide a broad set of conclusions. Tomography images revealing assembly geometric information including the fuel element lattice structure and missing elements can be obtained using high energy neutrons. A projection difference technique was developed which reveals the substitution of unirradiated fuel elements for irradiated fuel elements, using high energy neutrons. More subtle material differences such as altering the burnup of individual elements can be identified with lower energy neutrons provided the scattered neutron contribution to the image is limited. The research results show that neutron computed tomography can be used to inspect spent nuclear fuel assemblies for the purpose of identifying anomalies such as missing elements or substituted elements. The ability to identify anomalies in spent fuel assemblies can be used to deter diversion of material by increasing the risk of early detection as well as improve reprocessing facility operations by confirming the spent fuel configuration is as expected or allowing segregation if anomalies are detected.
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