A perturbation-based acceleration for Monte Carlo – Thermal Hydraulics Picard iterations. Part I: Theory and application to extruded BWR unit-cell.

2022 ◽  
Vol 167 ◽  
pp. 108756
Author(s):  
Stefano Terlizzi ◽  
Dan Kotlyar
Keyword(s):  
Monte Carlo ◽  
Unit Cell ◽  
Thermal Hydraulics ◽  
Picard Iterations

μSR Spectrum Reconstruction Using Monte Carlo Approach: A Preliminary Study

2019 ◽  
Vol 966 ◽  
pp. 483-488 ◽  
Author(s):  
Budi Adiperdana ◽  
Risdiana
Keyword(s):  
Monte Carlo ◽  
Electrostatic Potential ◽  
Thermal Fluctuation ◽  
Unit Cell ◽  
Spectrum Reconstruction ◽  
Monte Carlo Approach ◽  
Realistic Result ◽  
Optimum Scale ◽  
Preliminary Study

A possible method to reconstruct μSR spectra using Monte Carlo approach presented. Three issues carefully addressed for the simulations, that is automatic muon sites estimations, movement of muon due to gradient electrostatic potential and thermal fluctuation. All minima within the unit cell need to be included for more realistic theoretical μSR spectra. The optimum scale of gradient potential and thermal fluctuation needed to achieve a realistic result. Additional μSR spectra can be revealed in comparison with the simulation at lower thermal fluctuation.

Coupled neutronics thermal-hydraulics analysis using Monte Carlo and sub-channel codes

2012 ◽  
Vol 250 ◽  
pp. 403-411 ◽  
Author(s):  
Miriam Vazquez ◽  
Haileyesus Tsige-Tamirat ◽  
Luca Ammirabile ◽  
Francisco Martin-Fuertes
Keyword(s):  
Monte Carlo ◽  
Thermal Hydraulics ◽  
Channel Codes

scholarly journals Lithium oxide: a quantum-corrected and classical Monte Carlo study

2019 ◽  
Vol 21 (27) ◽  
pp. 14964-14972 ◽  
Author(s):  
M. Yu. Lavrentiev ◽  
N. L. Allan ◽  
C. Wragg
Keyword(s):  
Monte Carlo ◽  
Low Temperature ◽  
Monte Carlo Study ◽  
Unit Cell ◽  
Lithium Oxide ◽  
Quantum Corrections ◽  
Unit Cell Parameters ◽  
Cell Parameters ◽  
Theory And Experiment

Quantum corrections to unit cell parameters provide correct low-temperature limits and must be allowed for when comparing theory and experiment.

scholarly journals DEVELOPMENT OF 3D PIN-BY-PIN CORE SOLVER TORTIN AND COUPLING WITH THERMAL-HYDRAULICS

2021 ◽  
Vol 247 ◽  
pp. 02034
Author(s):  
P. Mala ◽  
A. Pautz ◽  
H. Ferroukhi ◽  
A. Vasiliev
Keyword(s):  
Monte Carlo ◽  
State Of The Art ◽  
The State ◽  
Monte Carlo Code ◽  
Channel Code ◽  
Thermal Hydraulics ◽  
Fuel Temperature ◽  
Power Profile ◽  
Assembly Problem ◽  
Good Agreement

Currently, safety analyses mostly rely on codes which solve both the neutronics and the thermal-hydraulics with assembly-wise nodes resolution as multiphysics heterogeneous transport solvers are still too time and memory expensive. The pin-by-pin homogenized codes can be seen as a bridge between the heterogeneous codes and the traditional nodal assembly-wise calculations. In this work, the pin-by-pin simplified transport solver Tortin has been coupled with a sub-channel code COBRA-TF. The verification of the 3D solver of Tortin is presented at first, showing very good agreement in terms of axial and radial power profile with the Monte Carlo code SERPENT for a small minicore and with the state-of-the-art nodal code SIMULATE5 for a quarter core without feedback. Then the results of Tortin+COBRA-TF are compared with SIMULATE5 for one assembly problem with feedback. The axial profiles of power and moderator temperature show good agreement, while the fuel temperature differ by up to 40 K. This is caused mainly by different gap and fuel conductance parameters used in COBRA-TF and in SIMULATE5.

A likelihood-based search for the macromolecular position in the crystalline unit cell

1999 ◽  
Vol 55 (4) ◽  
pp. 739-745 ◽  
Author(s):  
T. E. Petrova ◽  
V. Y. Lunin ◽  
A. D. Podjarny
Keyword(s):  
Monte Carlo ◽  
Unit Cell ◽  
The Real ◽  
Spherical Envelope ◽  
Fixed Radius ◽  
The One ◽  
The Right ◽  
Computer Procedure

The goal of this work is to analyse whether the generalized likelihood criterion can be used to find the best spherical envelope of a macromolecule in a unit cell. A family of spherical envelopes is ranged in accordance with their likelihood values calculated by means of a Monte Carlo-type computer procedure. Two kinds of envelope families were tested. The first one was composed of spherical envelopes of fixed radius but different positions in the unit cell. In the second case, the sphere radii were linked to their centre position so that the total volume occupied by all symmetry-related spheres was roughly equal to the total volume occupied by the real molecule. The experiments showed that when using the first type of envelope the level of the signal for the right solution is higher than the one obtained with the straightforward R-factor-based single-Gaussian-atom search, but spurious maxima (usually placed on the symmetry axes) may still exist. The use of the second type of envelope family reduces the level of the spurious maxima.

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