Abstract
ARES is a multidimensional parallel discrete ordinates particle transport code with arbitrary order anisotropic scattering. It can be applied to a wide variety of radiation shielding calculations and reactor physics analysis. ARES uses state-of-the-art solution methods to obtain accurate solutions to the linear Boltzmann transport equation. A multigroup discretization is applied in energy. The code allows multiple spatial discretization schemes and solution methodologies. ARES currently provides diamond difference with or without linear-zero flux fixup, theta weighted, directional theta weighted, exponential directional weighted, and linear discontinuous finite element spatial differencing schemes. Discrete ordinates differencing in angle and spherical harmonics expansion of the scattering source are adopted. First collision source method is used to eliminate or mitigate the ray effects. Traditional source iteration and Krylov iterative method preconditioned with diffusion synthetic acceleration are applied to solve the linear system of equations. ARES uses the Koch-Baker-Alcouffe parallel sweep algorithm to obtain high parallel efficiency. Verification and validation for the ARES transport code system have been done by lots of benchmarks. In this paper, ARES solutions to the HBR-2 benchmark and C5G7 benchmarks are in excellent agreement with published results. Numerical results are presented which demonstrate the accuracy and efficiency of these methods.
Highlights
Particle transport problems arise in many different areas of engineering physics
To verify the reliability and availability of ARES shielding calculation, the HBR-2 benchmark was modeled and we provided the final result of the average ratio of the calculated to measured specific activities (C/M) for the six dosimeters in the surveillance capsule during cycle 9
The results indicate that the ARES transport calculation and the measured specific activities are in good agreement except 238U(n, f) reaction
Summary
Particle transport problems arise in many different areas of engineering physics. There are two main types of simulation approaches in particle transport modeling: stochastic (Monte Carlo) and deterministic [1]. To provide the corresponding data for the transport calculation, we developed the preprocessing module ARES_PRE, which can dispose the geometry and material information of the calculated model and deal with the quadrature sets and cross-sectional message. It can calculate the reactor core fixed source and provide the interface for the Monte Carlo and discrete ordinates coupled code. A variety of spatial differencing scheme options are available, including diamond difference with or without linear-zero flux fixup, theta weighted, directional theta weighted, exponential directional weighted, and linear discontinuous finite element scheme This discretization produces a large, sparse, linear system of equations in a seven-dimensional phase space.
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