Subcriticality Determination of Low-Enriched UO<sub>2</sub>Lattices in Water by Exponential Experiment

Suzaki, Takenori

doi:10.1080/18811248.1991.9731473

Cited by 23 publications

(2 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The TCA benchmarks [13,14] are critical experiment series for light-water moderated lattices using 17 × 17 2.6 w/o UO 2 fuel rods arranged in a square array. The fuel rod array is surrounded by light-water in a 1.8 m core tank, whereas the pin-pitch and fuel pellet radii are 1.956 cm and 0.625 cm.…”

Section: Tca Benchmark Problemmentioning

confidence: 99%

“…The purpose of this study was to generate critical buckling, based on the B 1 theoryaugmented MC method, for DeCART2D calculations and to quantify the uncertainties of the critical buckling due to stochastic uncertainties and the uncertainties of the input parameters (e.g., cross section, geometric data, and material composition). In this study, the critical buckling for the tank-type critical assembly (TCA) benchmark problem [13,14], which provides the measured values for the critical water level and extrapolation for each case distance, is generated using the B 1 theory-augmented MC method. Furthermore, the uncertainties of the critical buckling are estimated using the SNU S/U formulation.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Critical Buckling Generation of TCA Benchmark by the B1 Theory-Augmented Monte Carlo Calculation and Estimation of Uncertainties

Park

Cho

2021

Energies

View full text Add to dashboard Cite

The Korea Atomic Energy Research Institute (KAERI) has developed the DeCART2D 2-dimensional (2D) method of characteristics (MOC) transport code and the MASTER nodal diffusion code and has established its own two-step procedure. For design code licensing, KAERI prepared a critical experiment on the verification and validation (V&V) of the DeCART2D code. DeCART2D is able to perform the MOC calculation only for 2D nuclear fuel systems, such as the fuel assembly. Therefore, critical buckling in the vertical direction is essential for comparison between the results of experiments and DeCART2D. In this study, the B1 theory-augmented Monte Carlo (MC) method was adopted for the generation of critical buckling. To examine critical buckling using the B1 theory-augmented MC method, TCA critical experiment benchmark problems were considered. Based on the TCA benchmark results, it was confirmed that the DeCART2D code with the newly-generated critical buckling predicts the criticality very well. In addition, the critical buckling generated by the B1 theory-augmented MC method was bound to uncertainties. Therefore, utilizing basic equations (e.g., SNU S/U formulation) linking input uncertainties to output uncertainties, a new formulation to estimate the uncertainties of the newly generated critical buckling was derived. This was then used to compute the uncertainties of the critical buckling for a TCA critical experiment, under the assumption that nuclear cross-section data have uncertainties.

show abstract

Section: Tca Benchmark Problemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Critical Buckling Generation of TCA Benchmark by the B1 Theory-Augmented Monte Carlo Calculation and Estimation of Uncertainties

Park

Cho

2021

Energies

View full text Add to dashboard Cite

show abstract

Subcriticality Measurements

Pyeon,

Chiba,

Endo

et al. 2024

Reactor Laboratory Experiments at Kyoto University Critical Assembly

View full text Add to dashboard Cite

The index of subcriticality is used to quantify the degree of “how deep a target system has a margin below the critical state.” There are three main categories of subcriticality measurement techniques: the static method, the kinetic method, and the reactor noise analysis method. This chapter is dedicated to explaining the following methods that can be carried out at the Kyoto University Critical Assembly: the neutron source multiplication method, the inverse kinetics method, the pulsed neutron source method, and the reactor noise analysis method such as the Feynman-$$\alpha$$ α method. As described in this chapter, each of the subcriticality measurement techniques has both advantages and disadvantages. Through the explanations of the principles of the measurements and the procedures, this chapter helps readers understand how to properly select the various subcriticality measurement techniques depending on an experimental condition for a target system.

show abstract

Development of an analytical theory to describe the PNAR and CIPN nondestructive assay techniques

Bolind

2014

Annals of Nuclear Energy

View full text Add to dashboard Cite

Subcriticality Determination of Low-Enriched UO₂Lattices in Water by Exponential Experiment

Cited by 23 publications

References 3 publications

Critical Buckling Generation of TCA Benchmark by the B1 Theory-Augmented Monte Carlo Calculation and Estimation of Uncertainties

Critical Buckling Generation of TCA Benchmark by the B1 Theory-Augmented Monte Carlo Calculation and Estimation of Uncertainties

Subcriticality Measurements

Development of an analytical theory to describe the PNAR and CIPN nondestructive assay techniques

Contact Info

Product

Resources

About

Subcriticality Determination of Low-Enriched UO2Lattices in Water by Exponential Experiment

Cited by 23 publications

References 3 publications

Critical Buckling Generation of TCA Benchmark by the B1 Theory-Augmented Monte Carlo Calculation and Estimation of Uncertainties

Critical Buckling Generation of TCA Benchmark by the B1 Theory-Augmented Monte Carlo Calculation and Estimation of Uncertainties

Subcriticality Measurements

Development of an analytical theory to describe the PNAR and CIPN nondestructive assay techniques

Contact Info

Product

Resources

About

Subcriticality Determination of Low-Enriched UO₂Lattices in Water by Exponential Experiment