Uncertainty quantification of interest outputs in nuclear fuel cycle is an important issue for nuclear safety, from nuclear facilities to long term deposits. Most of those outputs are functions of the isotopic vector density which is estimated by fuel cycle codes, such as DARWIN/PEPIN2, MENDEL, ORIGEN or FISPACT. CEA code systems DARWIN/PEPIN2 and MENDEL propagate by two different methods the uncertainty from nuclear data inputs to isotopic concentrations and decay heat. This paper shows comparisons between those two codes on a Uranium-235 thermal fission pulse. Effects of nuclear data evaluation’s choice (ENDF/B-VII.1, JEFF-3.1.1 and JENDL-2011) is inspected in this paper. All results show good agreement between both codes and methods, ens...
The passive gamma spectroscopy (PGS) is a useful technique to extract information on spent nuclear f...
Radioactivity and decay power of spent MOX fuel are very crucial in term of storage or disposal. In ...
In this study, the Best Estimate Plus Uncertainty (BEPU) approach is developed for the systematic qu...
Uncertainty quantification of interest outputs in nuclear fuel cycle is an important issue for nucle...
International audienceUncertainty quantification of interest outputs in nuclear fuel cycle is an imp...
International audienceUncertainty quantification of interest outputs based on the nuclear data is an...
The knowledge of the decay heat quantity and the associated uncertainties are important issues for t...
In the present paper, firstly, we review our previous works on uncertainty quantification (UQ) of re...
This report describes a novel approach developed at the Oak Ridge National Laboratory (ORNL) for the...
This PhD study is in the field of nuclear energy, the back end of nuclear fuel cycle and uncertainty...
Fissionproductyields(FY)arefundamentalnucleardataforseveralapplications,includingdecay heat, shieldi...
Nuclear data uncertainty propagation based on stochastic sampling ( SS) is becoming more attractive ...
Nuclear data-induced uncertainties of infinite neutron multiplication factors (k) during fuel deplet...
Fission product yields are fundamental parameters for several nuclear engineering calculations and i...
The uncertainties on the isotopic composition throughout the burnup due to the nuclear data uncertai...
The passive gamma spectroscopy (PGS) is a useful technique to extract information on spent nuclear f...
Radioactivity and decay power of spent MOX fuel are very crucial in term of storage or disposal. In ...
In this study, the Best Estimate Plus Uncertainty (BEPU) approach is developed for the systematic qu...
Uncertainty quantification of interest outputs in nuclear fuel cycle is an important issue for nucle...
International audienceUncertainty quantification of interest outputs in nuclear fuel cycle is an imp...
International audienceUncertainty quantification of interest outputs based on the nuclear data is an...
The knowledge of the decay heat quantity and the associated uncertainties are important issues for t...
In the present paper, firstly, we review our previous works on uncertainty quantification (UQ) of re...
This report describes a novel approach developed at the Oak Ridge National Laboratory (ORNL) for the...
This PhD study is in the field of nuclear energy, the back end of nuclear fuel cycle and uncertainty...
Fissionproductyields(FY)arefundamentalnucleardataforseveralapplications,includingdecay heat, shieldi...
Nuclear data uncertainty propagation based on stochastic sampling ( SS) is becoming more attractive ...
Nuclear data-induced uncertainties of infinite neutron multiplication factors (k) during fuel deplet...
Fission product yields are fundamental parameters for several nuclear engineering calculations and i...
The uncertainties on the isotopic composition throughout the burnup due to the nuclear data uncertai...
The passive gamma spectroscopy (PGS) is a useful technique to extract information on spent nuclear f...
Radioactivity and decay power of spent MOX fuel are very crucial in term of storage or disposal. In ...
In this study, the Best Estimate Plus Uncertainty (BEPU) approach is developed for the systematic qu...