In order to properly quantify fission reactor neutronics parameter uncertainties, we have to use covariance data and sensitivity profiles consistently. In the present paper, we establish two consistent methodologies for uncertainty quantification: a self-shielded cross section-based consistent methodology and an infinitely-diluted cross section-based consistent methodology. With these methodologies and the covariance data of uranium-238 nuclear data given in JENDL-3.3, we quantify uncertainties of infinite neutron multiplication factors of light water reactor and fast reactor fuel cells. While an inconsistent methodology gives results which depend on the energy group structure of neutron flux and neutron-nuclide reaction cross section repre...
This paper shows how Total Monte Carlo (TMC) method and Perturbation Theory (PT) can be applied to q...
Sodium-cooled fast reactor (SFR) technologies have the potential to guarantee energy supply and to r...
In the present paper, firstly, we review our previous works on uncertainty quantification (UQ) of re...
In order to properly quantify fission reactor neutronics parameter uncertainties, we have to use cov...
Nuclear data-induced uncertainties of infinite neutron multiplication factors (k) during fuel deplet...
We present an approach to uncertainty quantification for nuclear applica-tions, which combines the c...
The investigation of resonance self-shielding effects in macroscopic medium is important for the phy...
The propagation of nuclear data uncertainties through reactor physics calculation has received atten...
Within the framework of the Uncertainty Analysis in Modeling (UAM) for Design, Operation and Safety...
Cross section data in the resolved and unresolved resonance region are represented by nuclear reacti...
Cross section data in the resolved and unresolved resonance region are represented by nuclear reacti...
This work presents the development and demonstration of a Nuclear Data Adjustment Method that allows...
The paper demonstrates the influence of uncertainties in microscopic nuclear data on the results of ...
The impact of the current nuclear data library covariances such as in ENDF/B-VII.1, JEFF-3.2, JENDL-...
Principles to determine resonance parameters and their covariance from experimental data are discuss...
This paper shows how Total Monte Carlo (TMC) method and Perturbation Theory (PT) can be applied to q...
Sodium-cooled fast reactor (SFR) technologies have the potential to guarantee energy supply and to r...
In the present paper, firstly, we review our previous works on uncertainty quantification (UQ) of re...
In order to properly quantify fission reactor neutronics parameter uncertainties, we have to use cov...
Nuclear data-induced uncertainties of infinite neutron multiplication factors (k) during fuel deplet...
We present an approach to uncertainty quantification for nuclear applica-tions, which combines the c...
The investigation of resonance self-shielding effects in macroscopic medium is important for the phy...
The propagation of nuclear data uncertainties through reactor physics calculation has received atten...
Within the framework of the Uncertainty Analysis in Modeling (UAM) for Design, Operation and Safety...
Cross section data in the resolved and unresolved resonance region are represented by nuclear reacti...
Cross section data in the resolved and unresolved resonance region are represented by nuclear reacti...
This work presents the development and demonstration of a Nuclear Data Adjustment Method that allows...
The paper demonstrates the influence of uncertainties in microscopic nuclear data on the results of ...
The impact of the current nuclear data library covariances such as in ENDF/B-VII.1, JEFF-3.2, JENDL-...
Principles to determine resonance parameters and their covariance from experimental data are discuss...
This paper shows how Total Monte Carlo (TMC) method and Perturbation Theory (PT) can be applied to q...
Sodium-cooled fast reactor (SFR) technologies have the potential to guarantee energy supply and to r...
In the present paper, firstly, we review our previous works on uncertainty quantification (UQ) of re...