Monte Carlo methods are beginning to be used for three-dimensional fuel depletion analyses to compute various quantities of interest, including isotopic compositions of used fuel.1 The TRITON control module, available in the SCALE 5.1 code system, can perform three dimensional (3-D) depletion calculations using either the KENO V.a or KENO-VI Monte Carlo transport codes, as well as the two-dimensional (2- D) NEWT discrete ordinates code. For typical reactor systems, the neutron flux is not spatially uniform. For Monte Carlo simulations, this results in non-uniform statistical uncertainties in the computed reaction rates. For spatial regions where the flux is low, e.g., axial fuel ends, computed quantities, such as isotopic compositions, may ...
For the stable and self-sufficient functioning of the DEMO fusion reactor, one of the most important...
In this work, the depletion capability implemented in Monte Carlo code MCS is investigated to predic...
This report describes a novel approach developed at the Oak Ridge National Laboratory (ORNL) for the...
Monte Carlo methods are beginning to be used for three dimensional fuel depletion analyses to comput...
The Monte Carlo method provides powerful geometric modeling capabilities for large problem domains i...
Monte Carlo methods are beginning to be used for three-dimensional fuel depletion analyses to comput...
Improving computer technology and the desire to more accurately model the heterogeneity of the nucle...
In the depletion calculation of the nuclear fuel, the uncertainty is of utmost importance, as it aff...
Monte Carlo N-Particle Transport Code (MCNP) is a Monte Carlo computational neutron transport code w...
Burnup credit methodology is economically advantageous because significantly higher loading capacity...
The recently developed method Lasso Monte Carlo (LMC) for uncertainty quantification is applied to t...
Reactor burnup or depletion codes are used thoroughly in the fields of nuclear forensics and nuclear...
Uncertainty and sensitivity analyses with respect to nuclear data are performed with depletion calcu...
International audienceUncertainty quantification of interest outputs based on the nuclear data is an...
Nuclear data-induced uncertainties of infinite neutron multiplication factors (k) during fuel deplet...
For the stable and self-sufficient functioning of the DEMO fusion reactor, one of the most important...
In this work, the depletion capability implemented in Monte Carlo code MCS is investigated to predic...
This report describes a novel approach developed at the Oak Ridge National Laboratory (ORNL) for the...
Monte Carlo methods are beginning to be used for three dimensional fuel depletion analyses to comput...
The Monte Carlo method provides powerful geometric modeling capabilities for large problem domains i...
Monte Carlo methods are beginning to be used for three-dimensional fuel depletion analyses to comput...
Improving computer technology and the desire to more accurately model the heterogeneity of the nucle...
In the depletion calculation of the nuclear fuel, the uncertainty is of utmost importance, as it aff...
Monte Carlo N-Particle Transport Code (MCNP) is a Monte Carlo computational neutron transport code w...
Burnup credit methodology is economically advantageous because significantly higher loading capacity...
The recently developed method Lasso Monte Carlo (LMC) for uncertainty quantification is applied to t...
Reactor burnup or depletion codes are used thoroughly in the fields of nuclear forensics and nuclear...
Uncertainty and sensitivity analyses with respect to nuclear data are performed with depletion calcu...
International audienceUncertainty quantification of interest outputs based on the nuclear data is an...
Nuclear data-induced uncertainties of infinite neutron multiplication factors (k) during fuel deplet...
For the stable and self-sufficient functioning of the DEMO fusion reactor, one of the most important...
In this work, the depletion capability implemented in Monte Carlo code MCS is investigated to predic...
This report describes a novel approach developed at the Oak Ridge National Laboratory (ORNL) for the...