scholarly journals NUCLEAR PARAMETER SURVEY OF MOLYBDENUM-URANIUM ALLOY FUELS FOR THE SHELDON REACTOR

1958 ◽  
Author(s):  
R A Blaine
Keyword(s):  
Uranium Alloy ◽  
Nuclear Parameter

Oxidation of a Ternary Uranium Alloy

1971 ◽  
Vol 8 (1) ◽  
pp. 80-83 ◽  
Author(s):  
D. T. Larson
Keyword(s):  
Uranium Alloy

scholarly journals RESUME OF URANIUM ALLOY DATA-XI

1956 ◽  
Author(s):  
E.F. Losco ◽  
J. eds. Belle
Keyword(s):  
Uranium Alloy

Texture of extruded uranium alloy by neutron diffraction

1985 ◽  
Vol 18 (6) ◽  
pp. 413-418 ◽  
Author(s):  
C. S. Choi ◽  
H. J. Prask
Keyword(s):  
Neutron Diffraction ◽  
Orientation Distribution ◽  
Fiber Texture ◽  
Pole Density ◽  
Ti Alloy ◽  
Composite Alloy ◽  
Density Distributions ◽  
Uranium Alloy ◽  
Pole Figures ◽  
Combination Function

The pole-density distributions of two hydrostatically extruded samples, a U–0.75 wt.% Ti alloy and a U–0.75 wt % Ti/W composite alloy, were studied by neutron diffraction methods. Analysis of U 112, U 131 and U 111 pole figures revealed that the α-U phases of both samples possess a [010]/[340] duplex fiber texture with a probability ratio of approximately 2.8:1 in favor of the [010] direction. The W phase of the composite sample had a [110] fiber texture. The orientation distribution profiles of the fiber axes obtained from the rocking curves (as a function of the tilt angle) were represented best by a Gaussian–Lorentzian combination function. The full widths at half maximum of the distributions were approximately 21, 11, and 5° for the U [010], U [340] and W [110] fiber axes, respectively.

Fabrication of uranium alloy fuel slug for sodium-cooled fast reactor by injection casting

2014 ◽  
Vol 301 (3) ◽  
pp. 797-803 ◽  
Author(s):  
Jong Hwan Kim ◽  
Hoon Song ◽  
Ki Hwan Kim ◽  
Chan Bock Lee
Keyword(s):  
Fast Reactor ◽  
Uranium Alloy ◽  
Injection Casting ◽  
Fuel Slug

scholarly journals A comparison of uncertainty propagation techniques using NDaST: full, half or zero Monte Carlo?

2018 ◽  
Vol 4 ◽  
pp. 14 ◽  
Author(s):  
James Dyrda ◽  
Ian Hill ◽  
Luca Fiorito ◽  
Oscar Cabellos ◽  
Nicolas Soppera
Keyword(s):  
Monte Carlo ◽  
Cross Sections ◽  
Uncertainty Propagation ◽  
Nuclear Data ◽  
Monte Carlo Sampling ◽  
Propagation Of Uncertainty ◽  
Nuclear Parameter ◽  
Zero Degree ◽  
Non Gaussian ◽  
Formula Type

Uncertainty propagation to keff using a Total Monte Carlo sampling process is commonly used to solve the issues associated with non-linear dependencies and non-Gaussian nuclear parameter distributions. We suggest that in general, keff sensitivities to nuclear data perturbations are not problematic, and that they remain linear over a large range; the same cannot be said definitively for nuclear data parameters and their impact on final cross-sections and distributions. Instead of running hundreds or thousands of neutronics calculations, we therefore investigate the possibility to take those many cross-section file samples and perform ‘cheap’ sensitivity perturbation calculations. This is efficiently possible with the NEA Nuclear Data Sensitivity Tool (NDaST) and this process we name the half Monte Carlo method (HMM). We demonstrate that this is indeed possible with a test example of JEZEBEL (PMF001) drawn from the ICSBEP handbook, comparing keff directly calculated with SERPENT to those predicted with NDaST. Furthermore, we show that one may retain the normal NDaST benefits; a deeper analysis of the resultant effects in terms of reaction and energy breakdown, without the normal computational burden of Monte Carlo (results within minutes, rather than days). Finally, we assess the rationality of using either full or HMMs, by also using the covariance data to do simple linear 'sandwich formula' type propagation of uncertainty onto the selected benchmarks. This allows us to draw some broad conclusions about the relative merits of selecting a technique with either full, half or zero degree of Monte Carlo simulation

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