Nuclear Reactor Physics
유니스트 원자로물리연구실은 원자로물리에 대하여 연구하고 있습니다. 원자로물리란 중성자 수송이론 및 확산이론을 기초로 원자로 내에서 중성자의 거동 즉, 매질과 충돌, 산란, 흡수, 핵분열 및 연쇄 반응 등을 연구하고, 중성자의 시공간 및 에너지 분포를 예측 및 제어하는 방법을 연구하는 공학의 한 분야입니다. 임계, 반응도 제어, 중성자 감속, 중성자 확산이론, 중성자 수송이론, 동특성, 반응도 궤환 등 원자로 설계, 해석 및 운전에 필요한 지식을 다룹니다. [네이버 지식백과] 원자로물리학 [Nuclear reactor physics] (학문명백과 : 공학, 형설출판사)

Monte Carlo Code Development – MCS Neutron Transport Code Development – STREAM MC-MoC Hybrid Methodology Development Resonance Treatment Method of Characteristics (MoC) Solver CMFD implementation, Linear source approximation, Memory optimization Future study: Depletion, Adjoint flux (perturbation), 2-D/1-D coupling, Parallelization of 2-D/1-D, MoC at transient state


Monte Carlo Methods Method of Characteristics Unified Nodal Method Acceleration Techniques

Design study of Ultra-long Cycle Fast Reactor UCFR 1000MWe and short-term deployable 100MWe design Strategies: Breed-and burn, power flattening, inherent safety Fuel study: LEU zoning, blanket breeding, PWR spent fuel loading, uranium-thorium mixed fuel performance, metallic fuel analysis Safety analysis: Inherent safety, temperature coefficient, sodium void worth, control rod worth, fast neutron fluence Design of SM-SFR Small modular fast reactor with breed-and burn strategy and liquid metal coolant Feasible design criteria study for nuclear power plant type and components Take advantage of the merit of SMR and SFR simultaneously Benchmark-Modeling for Calculating Neutronic Parameters To Solve Benchmark Problems with MC code / MoC and Nodal code KUCA Kyoto university critical assembly Molten Salt Reactor Design Molten salt reactor (MSR) design and code development GEN-III+ PWR Burnable absorper design for low-boron operation Reflector design

Worldwide attention from nuclear researchers are poured into the calculation of more realistic results in terms of reactor core safety margins against critical core conditions. The analysis of non-quantified uncertainties on account of multi-physics phenomena involves the coupled modeling of neutron kinetics, coolant thermal-hydraulics and nuclear fuel performance using the numerical integration methods with built-in precision and accuracy control.

Application of CNN, ANN in predicting the core parameters, cross-section generation for nodal code, calculation acceleration for transport code, data generation and management for training and testing of developed networks. AI-based diagnostic for reactor operation and Simulated Annealing based algorithm for loading pattern optimization are also being conducted.