International audienceThe analysis of nuclear reactors behavior in transients depends among others on the effective delayed neutron fraction ($\beta _{eff}$). The present paper aims at describing how to provide uncertainties for the effective delayed neutron fraction ($\beta_{eff}$) to be used for safety studies.The use of the Iterated Fission Probability method in the Monte Carlo code TRIPOLI4 gives credit to deterministic codes such as ERANOS for calculating $\beta _{eff}$. The use of the Monte Carlo code TRIPOLI4 enables a better representation of experimental cores, especially the R2 experimental core which exhibit more heterogeneities for hosting experimental devices. Its use for evaluating the calculated parts of the $\beta _{eff}$ ha...
For the successful deployment of advanced nuclear systems and optimization of current reactor design...
For the successful deployment of advanced nuclear systems and for optimization of current reactor de...
The paper demonstrates the influence of uncertainties in microscopic nuclear data on the results of ...
International audienceThe analysis of nuclear reactors behavior in transients depends among others o...
This paper presents a nuclear data sensitivity and uncertainty analysis of the effective delayed neu...
We present an approach to uncertainty quantification for nuclear applica-tions, which combines the c...
This paper presents a nuclear data sensitivity and uncertainty analysis of the effective delayed neu...
In this study, the Best Estimate Plus Uncertainty (BEPU) approach is developed for the systematic qu...
In this paper, we present a sensitivity analysis of the beta effective to nuclear data for the UM17x...
Delayed-neutrons are of great importance for reactor operations. Current abundances derive from eith...
This study presents uncertainty and sensitivity analyses of the delayed neutron fraction of light wa...
Uncertainty quantification (UQ) was performed using the Consortium for the Advanced Simulation of Li...
In the present paper, firstly, we review our previous works on uncertainty quantification (UQ) of re...
Evaluating uncertainties on nuclear parameters such as reactivity is a major issue for conception of...
International audienceThe capability of Monte-Carlo codes to predict kinetic parameters of nuclear s...
For the successful deployment of advanced nuclear systems and optimization of current reactor design...
For the successful deployment of advanced nuclear systems and for optimization of current reactor de...
The paper demonstrates the influence of uncertainties in microscopic nuclear data on the results of ...
International audienceThe analysis of nuclear reactors behavior in transients depends among others o...
This paper presents a nuclear data sensitivity and uncertainty analysis of the effective delayed neu...
We present an approach to uncertainty quantification for nuclear applica-tions, which combines the c...
This paper presents a nuclear data sensitivity and uncertainty analysis of the effective delayed neu...
In this study, the Best Estimate Plus Uncertainty (BEPU) approach is developed for the systematic qu...
In this paper, we present a sensitivity analysis of the beta effective to nuclear data for the UM17x...
Delayed-neutrons are of great importance for reactor operations. Current abundances derive from eith...
This study presents uncertainty and sensitivity analyses of the delayed neutron fraction of light wa...
Uncertainty quantification (UQ) was performed using the Consortium for the Advanced Simulation of Li...
In the present paper, firstly, we review our previous works on uncertainty quantification (UQ) of re...
Evaluating uncertainties on nuclear parameters such as reactivity is a major issue for conception of...
International audienceThe capability of Monte-Carlo codes to predict kinetic parameters of nuclear s...
For the successful deployment of advanced nuclear systems and optimization of current reactor design...
For the successful deployment of advanced nuclear systems and for optimization of current reactor de...
The paper demonstrates the influence of uncertainties in microscopic nuclear data on the results of ...