Treffer: Implementing amplified MRI in a computational fluid dynamics model of the cerebrospinal fluid

Title:
Implementing amplified MRI in a computational fluid dynamics model of the cerebrospinal fluid
Authors:
Vandenbulcke, Sarah, orcid:0000-0001-8173-
Publisher Information:
Zenodo
Publication Year:
2024
Collection:
Zenodo
Document Type:
dataset
Language:
unknown
Relation:
https://zenodo.org/records/12515016; oai:zenodo.org:12515016; https://doi.org/10.5281/zenodo.12515016
DOI:
10.5281/zenodo.12515016
Availability:
https://doi.org/10.5281/zenodo.12515016
https://zenodo.org/records/12515016
Rights:
Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number:
edsbas.68484238
Database:
BASE

Weitere Informationen

This folder respository contains files to implement measured amplified MRI motion into a CFD model. The files should be imported in FLUENT (Ansys Inc.) in the following order: setup_case.jou: journal file containing the commands to setup the CFD model in FLUENT (Ansys Inc.). This file also compiles and loads the UDF mesh_motion_all_v2023.c. The UDF is directly based on the code provided in the Github respiratory (CoCoNuT). A define-on-demand function should then be executed to export the unique node ids from FLUENT. Run the Python file link_node_id_spline_interpolation.ipynb which returns .dat files for the different timesteps. run_motion.jou: journal file that reads the .dat files generated in step 2 and applies the mesh motion in the CFD model.