scholarly journals Reactor Monte Carlo (RMC) model validation and verification in compare with MCNP for plate-type reactor

AIP Advances ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. 075112
Author(s):  
Mohammad Alrwashdeh ◽  
Saeed A. Alameri
Keyword(s):  
Monte Carlo ◽  
Model Validation ◽  
Validation And Verification ◽  
Type Reactor ◽  
Plate Type

scholarly journals Advances in Monte-Carlo code TRIPOLI-4®’s treatment of the electromagnetic cascade

2018 ◽  
Vol 170 ◽  
pp. 01008
Author(s):  
Davide Mancusi ◽  
Alice Bonin ◽  
François-Xavier Hugot ◽  
Fadhel Malouch
Keyword(s):  
Monte Carlo ◽  
Nuclear Reactor ◽  
Thick Target ◽  
Monte Carlo Code ◽  
Reactor Physics ◽  
Validation And Verification ◽  
Electron Positron ◽  
A Charge ◽  
Charge Deposition ◽  
Nuclear Instrumentation

TRIPOLI-4® is a Monte-Carlo particle-transport code developed at CEA-Saclay (France) that is employed in the domains of nuclear-reactor physics, criticality-safety, shielding/radiation protection and nuclear instrumentation. The goal of this paper is to report on current developments, validation and verification made in TRIPOLI-4 in the electron/positron/photon sector. The new capabilities and improvements concern refinements to the electron transport algorithm, the introduction of a charge-deposition score, the new thick-target bremsstrahlung option, the upgrade of the bremsstrahlung model and the improvement of electron angular straggling at low energy. The importance of each of the developments above is illustrated by comparisons with calculations performed with other codes and with experimental data.

Monte Carlo electron source model validation for an Elekta Precise linac

2011 ◽  
Vol 38 (5) ◽  
pp. 2366-2373 ◽  
Author(s):  
O. A. Ali ◽  
C. A. Willemse ◽  
W. Shaw ◽  
F. H. J. O'Reilly ◽  
F. C. P. du Plessis
Keyword(s):  
Monte Carlo ◽  
Model Validation ◽  
Source Model ◽  
Electron Source

Parallel MCMC methods for global optimization

2019 ◽  
Vol 25 (3) ◽  
pp. 227-237
Author(s):  
Lihao Zhang ◽  
Zeyang Ye ◽  
Yuefan Deng
Keyword(s):  
Monte Carlo ◽  
Global Optimization ◽  
Statistical Theory ◽  
Simulated Annealing ◽  
Parallel Computers ◽  
Mcmc Methods ◽  
Benchmark Function ◽  
Mcmc Method ◽  
Validation And Verification ◽  
Parallel Scheme

Abstract We introduce a parallel scheme for simulated annealing, a widely used Markov chain Monte Carlo (MCMC) method for optimization. Our method is constructed and analyzed under the classical framework of MCMC. The benchmark function for optimization is used for validation and verification of the parallel scheme. The experimental results, along with the proof based on statistical theory, provide us with insights into the mechanics of the parallelization of simulated annealing for high parallel efficiency or scalability for large parallel computers.

scholarly journals Combining unit and specification-based testing for meta-model validation and verification

2016 ◽  
Vol 62 ◽  
pp. 104-135 ◽  
Author(s):  
Jesús J. López-Fernández ◽  
Esther Guerra ◽  
Juan de Lara
Keyword(s):  
Model Validation ◽  
Validation And Verification ◽  
Meta Model

Evaluation Technique With MCNP for Temperature Dependent Problems

2010 ◽  
Author(s):  
Hiroyuki Fujime ◽  
Shinji Abe ◽  
Kazuya Yamaji ◽  
Daisuke Sato ◽  
Hideki Matsumoto
Keyword(s):  
Monte Carlo ◽  
Cross Sections ◽  
Monte Carlo Calculation ◽  
Design Codes ◽  
Design Code ◽  
Temperature Dependent ◽  
Validation And Verification ◽  
The World ◽  
Profile Changes ◽  
Complex Temperature

Monte Carlo calculation has come to be used as reference solutions instead of experiments in nuclear design code validation and verification (V&V), although comparisons with measurements are still indispensable for V&V in nuclear design. MCNP [1] is one of the most famous Monte Carlo codes widely used in the world. Many reference results are given for the analyses of critical experiments. When using the use MCNP calculations for validations of commercial design codes, we will face to a problem of lacking temperature dependent cross-sections. The cross-sections can be generated by the NJOY code [2]. However, if the model has complex temperature distribution, many NJOY calculations are necessary. Besides, if the temperature profile changes with fuel power and so on, many NJOY calculations have to be performed again and again. These back and forth procedures make us give up using MCNP for commercial LWR calculations. In order to solve this problem, we propose an easy approximation to solve the temperature problems using MCNP. Note that our technique does not require any code modifications.

scholarly journals Advances in the treatment of the electromagnetic cascade in the TRIPOLI-4® Monte-Carlo code

2018 ◽  
Author(s):  
Davide Mancusi
Keyword(s):  
Monte Carlo ◽  
Nuclear Reactor ◽  
Thick Target ◽  
Monte Carlo Code ◽  
Reactor Physics ◽  
Validation And Verification ◽  
Electron Positron ◽  
A Charge ◽  
Charge Deposition ◽  
Nuclear Instrumentation

TRIPOLI-4® is a Monte-Carlo particle-transport code developed at CEA-Saclay (France) that is employed in the domains of nuclear-reactor physics, criticality-safety, shielding/radiation protection and nuclear instrumentation. The goal of this paper is to report on current developments, validation and verification made in TRIPOLI-4® in the treatment of electron/positron/photon transport. The new capabilities and improvements concern refinements to the electron transport algorithm, the introduction of a charge-deposition score, the new thick-target bremsstrahlung option, the upgrade of the bremsstrahlung model and the improvement of electron angular straggling at low energy. The importance of each of the developments above is illustrated by comparisons with calculations performed with other codes and with experimental data.

scholarly journals A regional application of the MAGIC model in Wales: calibration and assessment of future recovery using a Monte-Carlo approach

1998 ◽  
Vol 2 (4) ◽  
pp. 521-531 ◽  
Author(s):  
C. E. M. Sefton ◽  
A. Jenkins
Keyword(s):  
Water Quality ◽  
Monte Carlo ◽  
Model Validation ◽  
Headwater Streams ◽  
Significant Decline ◽  
Monte Carlo Approach ◽  
Streamwater Chemistry ◽  
Acid Neutralising Capacity ◽  
Magic Model ◽  
S Deposition

Abstract. A survey and resurvey of 77 headwater streams in Wales provides an opportunity for assessing changes in streamwater chemistry in the region. The Model of Acidification of Groundwater In Catchment (MAGIC) has been calibrated to the second of two surveys, taken in 1994-1995, using a Monte-Carlo methodology. The first survey, 1983-1984, provides a basis for model validation. The model simulates a significant decline of water quality across the region since industrialisation. Agreed reductions in sulphur (S) emissions in Europe in accordance with the Second S Protocol will result in a 49% reduction of S deposition across Wales from 1996 to 2010. In response to these reductions, the proportion of streams in the region with mean annual acid neutralising capacity (ANC) > 0 is predicted to increase from 81% in 1995 to 90% by 2030. The greatest recovery between 1984 and 1995 and into the future is at those streams with low ANC. In order to ensure that streams in the most heavily acidified areas of Wales recover to ANC zero by 2030, a reduction of S deposition of 80-85% will be required.

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