Tube2FEM: a general-purpose highly automated pipeline for flow-related processes in (embedded) tubular objects

This paper presents an open-source pipeline for simulating flow and flow-related processes in (embedded) tubular structures. Addressing a gap in computational fluid dynamics (CFD) and simulation sciences, it facilitates the transition from raw three-dimensional imaging, graph networks or computer aided design (CAD) models of tubular objects to refined, simulation-ready meshes. This transition, traditionally labour-intensive, is streamlined through a series of innovative steps that include surface mesh processing, centre-line construction, anisotropic mesh generation and volumetric meshing, leading to finite element method (FEM) simulations. The pipeline leverages a range of open-source software and libraries, notably <i>GIBBON</i>, <i>FEniCS</i> and <i>Paraview</i>, to provide flexibility and broad applicability across different simulation scenarios, ranging from biomedical to industrial applications. We demonstrate the versatility of our approach through five applications, including the mesh generation for soil-root systems, lung airways, microcirculation networks and portal vein networks, each originating from a different data source. Moreover, for several of these cases, we incorporate CFD simulations and strategies for 3D-1D coupling between the embedding domain and the embedded structures. Finally, we outline some future perspectives aimed at enhancing accuracy, reducing computational time and incorporating advanced modelling and boundary condition strategies to further refine the framework's capabilities.

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Publication Details

Journal
Royal Society Open Science
Published
2025-08-01
DOI
https://doi.org/10.1098/rsos.242025
Citations
1
Primary Topic
Computational Geometry and Mesh Generation
Type
article
Field-Weighted Citation Impact
3.54

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article

Tube2FEM: a general-purpose highly automated pipeline for flow-related processes in (embedded) tubular objects

Joseph Jacob, Rebecca J. Shipley, Kevin M. Moerman, Diana Oliveira et al.
1 citations
Royal Society Open Science
Computational Geometry and Mesh Generation
3.54
article

Tube2FEM: a general-purpose highly automated pipeline for flow-related processes in (embedded) tubular objects

Joseph Jacob, Rebecca J. Shipley, Kevin M. Moerman, Diana Oliveira, Brian R Davidson, Nesrin Moğulkoç, Simon Walker‐Samuel, Hani Cheikh Sleiman
article en
1 citations

Abstract

This paper presents an open-source pipeline for simulating flow and flow-related processes in (embedded) tubular structures. Addressing a gap in computational fluid dynamics (CFD) and simulation sciences, it facilitates the transition from raw three-dimensional imaging, graph networks or computer aided design (CAD) models of tubular objects to refined, simulation-ready meshes. This transition, traditionally labour-intensive, is streamlined through a series of innovative steps that include surface mesh processing, centre-line construction, anisotropic mesh generation and volumetric meshing, leading to finite element method (FEM) simulations. The pipeline leverages a range of open-source software and libraries, notably <i>GIBBON</i>, <i>FEniCS</i> and <i>Paraview</i>, to provide flexibility and broad applicability across different simulation scenarios, ranging from biomedical to industrial applications. We demonstrate the versatility of our approach through five applications, including the mesh generation for soil-root systems, lung airways, microcirculation networks and portal vein networks, each originating from a different data source. Moreover, for several of these cases, we incorporate CFD simulations and strategies for 3D-1D coupling between the embedding domain and the embedded structures. Finally, we outline some future perspectives aimed at enhancing accuracy, reducing computational time and incorporating advanced modelling and boundary condition strategies to further refine the framework's capabilities.

Royal Society Open ScienceVol. 12(8)
Ollscoil na Gaillimhe – University of Galway (IE), Hawkeye Community College (US), The Royal Free Hospital (GB), Ege University (TR), Wellcome / EPSRC Centre for Interventional and Surgical Sciences (GB), University College London (GB)
Wellcome Trust, Cancer Research UK, National Institute for Health and Care Research, Department of Health and Social Care, University College London, Engineering and Physical Sciences Research Council, Invention for Innovation
Openalex Percentile: Top 8%
Computational Geometry and Mesh Generation
3.54
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