IMPLEMENTATION OF PIN POWER FACTORS IN THE ANSYS CFX/PARCS COULPLING SYSTEM FOR LOCAL ANALYSIS OF NEUTRON OSCILLATION Article Swipe
YOU?
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· 2019
· Open Access
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· DOI: https://doi.org/10.1299/jsmeicone.2019.27.1800
Neutron noise analysis has been done over the last decades to predict fuel assembly and pressure vessel vibrations to evaluate safety related issues. In order to have a better insight of the neutron noise, a fluid mechanics and neutronics coupled code is developed to perform Multiphysics simulations at the level of the fuel rods inside a fuel assembly. This paper presents the methodology to couple the Multiphysics Computational Fluid Dynamics (CFD) code ANSYS-CFX 18.0 with the 3D neutron diffusion code PARCS v3.2. The model is a 3x3 PWR (Pressurized Water Reactor) fuel assembly (FA) matrix with a height of 3.9m. The cross sections as well as the pin power fractions (PPFs) used in the neutronic calculation are generated with the 3D Monte Carlo code SERPENT. We have observed in the SERPENT calculation that the PPFs of the corner fuel rods change with a maximum value of c. a. 5.6% percent if one fuel assembly gets 1.5mm closer to the other. To investigate the influence of the PPFs an additional subroutine has been added in the coupling routine. The coupled calculations are divided into 3 parts: 1. with oscillating inlet temperature, 2. with oscillating inlet velocity, 3. with fuel rod bend (C shape). In each part calculations are done with and without PPFs respectively.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1299/jsmeicone.2019.27.1800
- OA Status
- diamond
- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W2998575350Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1299/jsmeicone.2019.27.1800Digital Object Identifier
- Title
-
IMPLEMENTATION OF PIN POWER FACTORS IN THE ANSYS CFX/PARCS COULPLING SYSTEM FOR LOCAL ANALYSIS OF NEUTRON OSCILLATIONWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2019Year of publication
- Publication date
-
2019-01-01Full publication date if available
- Authors
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Zhuoqi Du, Marcus Seidl, Rafael Macián‐JuanList of authors in order
- Landing page
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https://doi.org/10.1299/jsmeicone.2019.27.1800Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1299/jsmeicone.2019.27.1800Direct OA link when available
- Concepts
-
Multiphysics, Neutron transport, Computational fluid dynamics, Nuclear engineering, Rod, VVER, Fluent, Neutron, Control rod, Coupling (piping), Mechanics, Physics, Finite element method, Engineering, Mechanical engineering, Structural engineering, Nuclear physics, Alternative medicine, Pathology, MedicineTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.with | 74, 95, 118, 141, 186, 191, 196, 208 |
| abstract_inverted_index.(CFD) | 70 |
| abstract_inverted_index.1.5mm | 155 |
| abstract_inverted_index.3.9m. | 99 |
| abstract_inverted_index.Carlo | 122 |
| abstract_inverted_index.Fluid | 68 |
| abstract_inverted_index.Monte | 121 |
| abstract_inverted_index.PARCS | 80 |
| abstract_inverted_index.Water | 89 |
| abstract_inverted_index.added | 172 |
| abstract_inverted_index.cross | 101 |
| abstract_inverted_index.fluid | 35 |
| abstract_inverted_index.inlet | 188, 193 |
| abstract_inverted_index.level | 49 |
| abstract_inverted_index.model | 83 |
| abstract_inverted_index.noise | 1 |
| abstract_inverted_index.order | 24 |
| abstract_inverted_index.paper | 59 |
| abstract_inverted_index.power | 108 |
| abstract_inverted_index.v3.2. | 81 |
| abstract_inverted_index.value | 144 |
| abstract_inverted_index.(PPFs) | 110 |
| abstract_inverted_index.better | 28 |
| abstract_inverted_index.change | 140 |
| abstract_inverted_index.closer | 156 |
| abstract_inverted_index.corner | 137 |
| abstract_inverted_index.couple | 64 |
| abstract_inverted_index.height | 97 |
| abstract_inverted_index.inside | 54 |
| abstract_inverted_index.matrix | 94 |
| abstract_inverted_index.noise, | 33 |
| abstract_inverted_index.other. | 159 |
| abstract_inverted_index.parts: | 184 |
| abstract_inverted_index.safety | 20 |
| abstract_inverted_index.vessel | 16 |
| abstract_inverted_index.Neutron | 0 |
| abstract_inverted_index.SERPENT | 130 |
| abstract_inverted_index.coupled | 39, 178 |
| abstract_inverted_index.decades | 9 |
| abstract_inverted_index.divided | 181 |
| abstract_inverted_index.insight | 29 |
| abstract_inverted_index.issues. | 22 |
| abstract_inverted_index.maximum | 143 |
| abstract_inverted_index.neutron | 32, 77 |
| abstract_inverted_index.percent | 149 |
| abstract_inverted_index.perform | 44 |
| abstract_inverted_index.predict | 11 |
| abstract_inverted_index.related | 21 |
| abstract_inverted_index.shape). | 201 |
| abstract_inverted_index.without | 210 |
| abstract_inverted_index.Dynamics | 69 |
| abstract_inverted_index.Reactor) | 90 |
| abstract_inverted_index.SERPENT. | 124 |
| abstract_inverted_index.analysis | 2 |
| abstract_inverted_index.assembly | 13, 92, 153 |
| abstract_inverted_index.coupling | 175 |
| abstract_inverted_index.evaluate | 19 |
| abstract_inverted_index.observed | 127 |
| abstract_inverted_index.presents | 60 |
| abstract_inverted_index.pressure | 15 |
| abstract_inverted_index.routine. | 176 |
| abstract_inverted_index.sections | 102 |
| abstract_inverted_index.ANSYS-CFX | 72 |
| abstract_inverted_index.assembly. | 57 |
| abstract_inverted_index.developed | 42 |
| abstract_inverted_index.diffusion | 78 |
| abstract_inverted_index.fractions | 109 |
| abstract_inverted_index.generated | 117 |
| abstract_inverted_index.influence | 163 |
| abstract_inverted_index.mechanics | 36 |
| abstract_inverted_index.neutronic | 114 |
| abstract_inverted_index.velocity, | 194 |
| abstract_inverted_index.additional | 168 |
| abstract_inverted_index.neutronics | 38 |
| abstract_inverted_index.subroutine | 169 |
| abstract_inverted_index.vibrations | 17 |
| abstract_inverted_index.calculation | 115, 131 |
| abstract_inverted_index.investigate | 161 |
| abstract_inverted_index.methodology | 62 |
| abstract_inverted_index.oscillating | 187, 192 |
| abstract_inverted_index.simulations | 46 |
| abstract_inverted_index.(Pressurized | 88 |
| abstract_inverted_index.Multiphysics | 45, 66 |
| abstract_inverted_index.calculations | 179, 205 |
| abstract_inverted_index.temperature, | 189 |
| abstract_inverted_index.Computational | 67 |
| abstract_inverted_index.respectively. | 212 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5044092820 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| corresponding_institution_ids | https://openalex.org/I62916508 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.75 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.24892704 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |