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

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Detalles Bibliográficos
Publicado en:	Royal Society Open Science vol. 12, no. 8 (2025), p. 1-23
Autor principal:	Sleiman, Hani Cheikh
Otros Autores:	Moerman, Kevin M, De Oliveira, Diana C, Jacob, Joseph, Mogulkoc, Nesrin, Davidson, Brian R, Walker-Samuel, Simon, Shipleya, Rebecca J
Publicado:	The Royal Society Publishing
Materias:	Finite element method Tomography Software packages Hydrodynamics Datasets Boundary conditions Fluid dynamics Mathematical models Open source software Computer applications Embedded structures Automation Visualization Linear algebra Simulation Flow simulation Partial differential equations Public domain Industrial applications Computer aided design > CAD Portal vein Three dimensional imaging Networks Computational fluid dynamics Embedding Computer graphics Computing time Mesh generation Environmental
Acceso en línea:	Citation/Abstract Full Text Full Text - PDF
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Descripción
Resumen:	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 labourintensive, 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 GIBBON, FEniCS and Paraview, 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.
ISSN:	2054-5703
DOI:	10.1098/rsos.242025
Fuente:	Science Database