scholarly journals Monte Carlo analysis of LWR spent fuel transmutation in a fusion-fission hybrid reactor system

2018 ◽  
Vol 50 (8) ◽  
pp. 1339-1348 ◽  
Author(s):  
Sümer Şahi̇n ◽  
Hacı Mehmet Şahin ◽  
Güven Tunç
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Analysis ◽  
Reactor System ◽  
Hybrid Reactor ◽  
Spent Fuel

Monte carlo analysis of various geometrical blankets in a fusion-fission hybrid reactor

2021 ◽  
Vol 162 ◽  
pp. 112122
Author(s):  
N.S. Abtahi ◽  
H. Tavakoli-Anbaran ◽  
S.M. Sadat Kiai ◽  
M. Hassanzadeh
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Analysis ◽  
Hybrid Reactor

Measurement of Dose Rate Distributions in the Spent Fuel Transport Vessel "ROKUEI MARU" and Monte Carlo Analysis

2002 ◽  
Vol 2002.8 (0) ◽  
pp. 457-460
Author(s):  
Kohtaro UEKI ◽  
Hideo AKIYAMA ◽  
Kazunari ONISHI ◽  
Yoshihiro MATSUMOTO ◽  
Tadashi MASEGAWA ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Dose Rate ◽  
Monte Carlo Analysis ◽  
Spent Fuel ◽  
Transport Vessel

Spent-Fuel Assay Performance and Monte Carlo Analysis of the Rensselaer Slowing-Down-Time Spectrometer

1993 ◽  
Vol 115 (4) ◽  
pp. 279-296 ◽  
Author(s):  
Naeem M. Abdurrahman ◽  
Robert C. Block ◽  
Donald R. Harris ◽  
Rudolf E. Slovacek ◽  
Yong-Doek Lee ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Analysis ◽  
Spent Fuel ◽  
Slowing Down ◽  
Assay Performance

Measurement of Dose Rates and Monte Carlo Analysis of Neutrons in a Spent-Fuel Shipping Vessel

1986 ◽  
Vol 74 (2) ◽  
pp. 164-175 ◽  
Author(s):  
Kohtaro Ueki ◽  
Yoshihito Namito ◽  
Takayoshi Fuse
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Analysis ◽  
Spent Fuel ◽  
Dose Rates

Generation of Correlated Logistic-Normal Random Variates for Medical Decision Trees

1998 ◽  
Vol 37 (03) ◽  
pp. 235-238 ◽  
Author(s):  
M. El-Taha ◽  
D. E. Clark
Keyword(s):  
Monte Carlo ◽  
Decision Trees ◽  
Computer Algebra ◽  
Taylor Series ◽  
Computer Algebra System ◽  
Random Variable ◽  
Monte Carlo Analysis ◽  
Normal Random Variable ◽  
Medical Decision ◽  
Theoretical Results

AbstractA Logistic-Normal random variable (Y) is obtained from a Normal random variable (X) by the relation Y = (ex)/(1 + ex). In Monte-Carlo analysis of decision trees, Logistic-Normal random variates may be used to model the branching probabilities. In some cases, the probabilities to be modeled may not be independent, and a method for generating correlated Logistic-Normal random variates would be useful. A technique for generating correlated Normal random variates has been previously described. Using Taylor Series approximations and the algebraic definitions of variance and covariance, we describe methods for estimating the means, variances, and covariances of Normal random variates which, after translation using the above formula, will result in Logistic-Normal random variates having approximately the desired means, variances, and covariances. Multiple simulations of the method using the Mathematica computer algebra system show satisfactory agreement with the theoretical results.

Monte Carlo Analysis of Nonequilibrium Ionized Flows.

1996 ◽  
Author(s):  
Iain D. Boyd ◽  
Xiaoming Liu ◽  
Jitendra Balakrishnan
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Analysis
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