Imperial College London
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DrChrisCooling

Central Faculty, Graduate School

Senior Teaching Fellow- Programming Skills Lead
 
 
 
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Contact

 

+44 (0)20 7594 1251c.cooling10

 
 
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Location

 

Sherfield BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Winter:2018:10.1016/j.anucene.2018.04.026,
author = {Winter, G and Cooling, C and Williams, M and Eaton, M},
doi = {10.1016/j.anucene.2018.04.026},
journal = {Annals of Nuclear Energy},
pages = {117--128},
title = {Importance of parametric uncertainty in predicting probability distributions for burst wait-times in fissile systems},
url = {http://dx.doi.org/10.1016/j.anucene.2018.04.026},
volume = {119},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - A method of uncertainty quantification in the calculation of wait-time probability distributions in delayed supercritical systems is presented. The method is based on Monte Carlo uncertainty quantification and makes use of the computationally efficient gamma distribution method for prediction of the wait-time probability distribution. The range of accuracy of the gamma distribution method is examined and parameterised based on the rate and magnitude of the reactivity insertion, the strength of the intrinsic neutron source and the prompt neutron lifetime. The saddlepoint method for inverting the generating function and a Monte Carlo simulation are used as benchmarks against which the accuracy of the gamma distribution method is determined. Finally, uncertainty quantification is applied to models of the Y-12 accident and experiments of Authier et al. (2014) on the Caliban reactor.
AU  - Winter,G
AU  - Cooling,C
AU  - Williams,M
AU  - Eaton,M
DO  - 10.1016/j.anucene.2018.04.026
EP  - 128
PY  - 2018///
SN  - 0306-4549
SP  - 117
TI  - Importance of parametric uncertainty in predicting probability distributions for burst wait-times in fissile systems
T2  - Annals of Nuclear Energy
UR  - http://dx.doi.org/10.1016/j.anucene.2018.04.026
UR  - http://hdl.handle.net/10044/1/58893
VL  - 119
ER  -
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