Research Data Leeds Repository

Computational predictions of bubbly flows with elliptic-blending Reynolds stress model

Colombo, Marco (2020) Computational predictions of bubbly flows with elliptic-blending Reynolds stress model. University of Leeds. [Dataset] https://doi.org/10.5518/800

Dataset description

Dataset collects the computational results included in the paper Multi-fluid computational fluid dynamic predictions of turbulent bubbly flows using an elliptic-blending Reynolds stress turbulence closure. Results for all the cases covered in the paper are included in separate .csv files.

Keywords:	CFD; bubbly flows; elliptic blending
Subjects:	F000 - Physical sciences > F300 - Physics > F340 - Mathematical & theoretical physics > F343 - Computational physics H000 - Engineering > H100 - General engineering > H140 - Mechanics > H141 - Fluid mechanics H000 - Engineering > H800 - Chemical, process & energy engineering > H820 - Atomic engineering > H821 - Nuclear engineering
Divisions:	Faculty of Engineering and Physical Sciences > School of Chemical and Process Engineering
Related resources:	Location Type http://doi.org/10.3389/fenrg.2020.00044 Publication http://eprints.whiterose.ac.uk/158620/ Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	09 Mar 2020 14:19
URI:	http://archive.researchdata.leeds.ac.uk/id/eprint/648
Additional details Additional details Creators: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Colombo, Marco https://orcid.org/0000-0002-4335-4250 University Of Leeds https://doi.org/10.13039/501100000777 crossref Type of data: Dataset Research funders: EPSRC Grant numbers: EP/R021805/1; EP/R045194; EP/S019871/1 Publication date: 2020 Resource language: English Research project title: “Can modern CFD models reliably predict DNB for nuclear power applications?”; “Computational Modelling for Nuclear Reactor Thermal Hydraulics”; “Towards comprehensive multiphase flow modelling for nuclear reactor thermal hydraulics” Publisher: University of Leeds Contact Email Address: m.colombo@leeds.ac.uk Last Modified: 19 Jun 2020 09:07

Files

Documentation

Zip file listing [451B] Zip file listing [451B] Zip file listing [451B] Visible to: Anyone File name: results_all_experiments.zip.manifest.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 451B

readme.txt [749B] readme.txt [749B] readme.txt [749B] Visible to: Anyone File name: readme.txt Content type: Documentation Description: Readme file Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 749B

Data

Computational simulation results for all experiments [64kB] Computational simulation results for all experiments [64kB] Computational simulation results for all experiments [64kB] Visible to: Anyone File name: results_all_experiments.zip Content type: Data Description: Data files for all experiments - 14 files (.csv) Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 64kB