Figures and Tables from the journal article: "On the numerical modelling of frozen walls in a molten salt fast reactor"

dc.contributor.authorCartland-Glover, Gregory
dc.contributor.authorRolfo, Stefano
dc.contributor.authorLitskevich, Dzianis
dc.contributor.authorSkillen, Alex
dc.contributor.authorEmerson, David
dc.contributor.authorMerk, Bruno
dc.contributor.authorMoulinec, Charles
dc.contributor.funderEngineering and Physical Sciences Research Councilen_GB
dc.contributor.funderHorizon 2020 Framework Programmeen_GB
dc.date.accessioned2019-04-10T14:20:59Z
dc.date.available2019-04-10T14:20:59Z
dc.date.issued2019
dc.description.abstractThe data enclosed in this repository is associated with the manuscript for an article "On the numerical modelling of frozen walls in a molten salt fast reactor" submitted to the Nuclear Engineering and Design Journal at the end of March 2019. The article was selected for the CFD4NRS-7 Special Issue of the Journal. The data in the article was presented at the CFD4NRS-7 Workshop in Shanghai, September 2018 and the NUTHOS-12 topical meeting in Qingdao, October 2018. The data is in the form of figures and tables. The figures in the corresponding directory were prepared using bash scripts, python version 2.7, gnuplot version 4.6 and latex to extract and analyse simulated data. The tables in the corresponding directory were prepared using bash scripts and python version 2.7 to extract and analyse simulated data. The python scripts can be found in the repository. Note that numpy is a requirement. The raw data was prepared using the SCARF (scarf.rl.ac.uk), CIRRUS (cirrus.ac.uk), University of Liverpool (https://www.liverpool.ac.uk/csd/advanced-research-computing/facilities/high-performance-computing/) and SCAFELLPIKE (http://community.hartree.stfc.ac.uk/wiki/site/admin/home.html) clusters. There is inexcess of 10Gb of data generated by the solvers Code_Saturne (https://www.code-saturne.org/cms/), DYN3D-MG (https://www.hzdr.de/db/Cms?pOid=11771&pNid=542) and SERPENT (http://montecarlo.vtt.fi/). Code_Saturne (version 5.0) was used to perform simulations of thermal fluid dynamic and conjugate heat transfer of a molten salt fast reactor. The models studied the formation of frozen salt films on cooled reactor vessel walls. DYN3D-MG modelled the nodal diffusion neutronic behaviour of the molten salt fast reactor. SERPENT (version 2.1.29) modelled the neutronic behaviour of the molten salt fast reactor using the Monte Carlo method. Both Code_Saturne and DYN3D-MG were coupled to one another in 3-D simulations of the reactor. The coupling procedures were implemented with the Multiscale Universal Interface, MUI (https://github.com/MxUI/MUI).en_GB
dc.description.sponsorshipEPSRC: Grant No. EP/R001618/1; H2020-EU.1.2.2. - FET Proactive Grant No. 671564en_GB
dc.identifier.urihttp://purl.org/net/edata/handle/edata/750
dc.identifier.urihttp://dx.doi.org/10.5286/edata/725
dc.language.isoenen_GB
dc.relation.isreplacedbyhttp://dx.doi.org/10.5286/edata/734
dc.rightsCreative Commons Attribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.otherMolten Salt Fast Reactor, Computational Fluid Dynamics, Neutronics, Code Coupling, Nodal Diffusion, Monte Carloen_GB
dc.titleFigures and Tables from the journal article: "On the numerical modelling of frozen walls in a molten salt fast reactor"en_GB
dc.typeCollectionen_GB
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The file is a gz zipped tar file that contains a directory of the same name with subdirectories (figures and tables). The data is stored in ascii formatted files. The figure file formats are tex files pointing to data held in sub-directories, which containing image files in jpg, pdf or tif formats. Some of the figures were prepared with gnuplot, python and bash scripts. The tables were written in latex and data was prepared using bash and python scripts.
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