Analysis of the F-lattice Using Scale and Mcnp5 by Steven
نویسندگان
چکیده
The current resurgence of interest in the nuclear power industry has led to renewed interest in new reactor designs. The GE Compact Modular Boiling Water Reactor (CM-BWR) is one such reactor. The 350 MWe CM-BWR is designed for small incremental additions to the power grid. A key feature of the CM-BWR is the use of the unique F-Lattice. The F-Lattice employs a staggered row configuration for the control blades. Additionally, the control blades are more than double the width of control blades found in most commercial boiling water reactors today. Increase in blade width and pitch allows for approximately a one-half factor decrease in the number of control blades. Reduction in control blades results in a large reduction in control rod related components. This reduces construction and maintenance costs, as well as reducing the risk of failures within the core. However, before design certification can be completed for the CM-BWR, first the tools needed to design and monitor reactor core performance must be validated. In this thesis, two versions of the SCALE package are validated to accurately model the F-Lattice by comparing their results against MCNP5 benchmark results. Multiplication factor and flux distribution are compared. The techniques necessary to iii analyze the flux calculations on a spatial grid were developed for the SCALE output. To compare flux distributions it was necessary to process the SCALE output and generate flux distributions in the same units as those employed in MCNP. A code is written in Perl to accomplish this task. Limitations of the supplement code, as well as limitations of the SCALE packages are discussed in detail. In addition, parametric studies are performed to determine rod worth and the effect of small and large perturbations to the geometry. Results are obtained for variation in material properties and change in control blade thickness. Suggestions for future work are given. iv Acknowledgments
منابع مشابه
Investigation of pore-scale random porous media using lattice boltzmann method
The permeability and tortuosity of pore-scale two and three-dimensional random porous media were calculated using the Lattice Boltzmann method (LBM). Effects of geometrical parameters of medium on permeability and tortuosity were investigated as well. Two major models of random porous media were reconstructed by computerized tomography method: Randomly distributed rectangular obstacles in a uni...
متن کاملNatural Convection and Entropy Generation in Γ-Shaped Enclosure Using Lattice Boltzmann Method
This work presents a numerical analysis of entropy generation in Γ-Shaped enclosure that was submitted to the natural convection process using a simple thermal lattice Boltzmann method (TLBM) with the Boussinesq approximation. A 2D thermal lattice Boltzmann method with 9 velocities, D2Q9, is used to solve the thermal flow problem. The simulations are performed at a constant Prandtl number (Pr ...
متن کاملX-ray diffraction peak profile analysis of maraged Fe-Ni-Mn steels
X-ray diffraction peak profile analysis was used to identify changes in the lattice distortions during isothermal aging of Fe-10Ni-7Mn (wt. %) maraging steel. Integral peak breadths were analyzed using classical Williamson-Hall equation taking the elastic anisotropy into account. It was found that substantial lattice distortions rise during precipitation hardening which depend strongly on the s...
متن کاملCalculation of Friction Coefficient and Analysis of Fluid Flow in a Stepped Micro-Channel for Wide Range of Knudsen Number Using Lattice Boltzmann (MRT) Method
Micro scale gas flows has attracted significant research interest in the last two decades. In this research, the fluid flow of gases in the stepped micro-channel at a wide range of Knudsen number has been analyzed with using the Lattice Boltzmann (MRT) method. In the model, a modified second-order slip boundary condition and a Bosanquet-type effective viscosity are used to consider the veloci...
متن کاملAssessment of Different Training Methods in an Artificial Neural Network to Calculate 2D Dose Distribution in Radiotherapy
Introduction: Treatment planning is the most important part of treatment. One of the important entries into treatment planning systems is the beam dose distribution data which maybe typically measured or calculated in a long time. This study aimed at shortening the time of dose calculations using artificial neural network (ANN) and finding the best method of training t...
متن کامل