Supplementary Code for "Uncertainty Quantification of the Impact of Peripheral Arterial Disease on Abdominal Aortic Aneurysms in Blood Flow Simulations"

DOI

This is supplementary code of the paper titled "Uncertainty Quantification of the Impact of Peripheral Arterial Disease on Abdominal Aortic Aneurysms in Blood Flow Simulations" by Sharp C. Y. Lo, Jon W. S. McCullough, Xiao Xue, and Peter V. Coveney (2024). The corresponding author is Prof. Peter V. Coveney (p.v.coveney@ucl.ac.uk).It contains the preprocessing and postprocessing tools for the blood flow simulations described in the paper using HemeLB (git commit hash: 554e8bef2cd68).MyModules contains the main tools, which are imported by other scripts.submodules contains the link to hemeXtract which is used to translate the binary outputs of HemeLB to human-readable outputs.writeInput.py is used to generate an array of input files of HemeLB.UQ_campaign/UQAAA/supplement/BoundaryVelocityRatio.py is used to plot the boundary velocity ratio against percentage wall extension for different sets of Womersely numbers and vessel radii, i.e. Figure S1 in the paper.UQ_campaign/UQAAA/supplement/INLET0_VELOCITY_mean.txt is the time series of the mean profile of the flow velocity at the centre of the inlet, i.e. Figure 2 in the paper. It is produced using writeInput.py with template_input.xml as the first argument.More information can be found in README.md.

Identifier
DOI https://doi.org/10.5522/04/24511930.v2
Related Identifier https://ndownloader.figshare.com/files/45532770
Related Identifier https://github.com/sharplo/HemeLB_Tools/releases/tag/v2.0
Related Identifier https://doi.org/10.1098/rsif.2023.0656
Metadata Access https://api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:figshare.com:article/24511930
Provenance
Creator Lo, Sharp C. Y.; McCullough, Jon
Publisher University College London UCL
Contributor Figshare
Publication Year 2024
Rights https://www.apache.org/licenses/LICENSE-2.0.html
OpenAccess true
Contact researchdatarepository(at)ucl.ac.uk
Representation
Language English
Resource Type Software
Discipline Construction Engineering and Architecture; Engineering; Engineering Sciences; Life Sciences; Mechanical and industrial Engineering; Mechanics; Mechanics and Constructive Mechanical Engineering; Medicine; Medicine and Health; Physiology