ArticleComputer methods in applied mechanics and engineering2024
FSGe: A fast and strongly-coupled 3D fluid-solid-growth interaction method.
Article in Computer methods in applied mechanics and engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Mechanisms driving thoracic aortic aneurysm instability.Biomechanics and modeling in mechanobiology · 2026Article
- On the accuracy of implicit neural representations for cardiovascular anatomies and hemodynamic fields.Computers in biology and medicine · 2026Article
- Physics-Based Growth and Remodeling Modeling for Virtual Abdominal Aortic Aneurysm Evolution and Growth Prediction.medRxiv : the preprint server for health sciences · 2026Article
- Article
- An open-source computational framework for immersed fluid-structure interaction modeling using FEBio and MFEM.Engineering with computers · 2026Article
- A computational model of coronary arteries with in-stent restenosis coupling hemodynamics and pharmacokinetics with growth mechanics.Scientific reports · 2025Article
- Mechanisms Driving Thoracic Aortic Aneurysm Stability.bioRxiv : the preprint server for biology · 2025Article
- Full Coupling Modeling on Multi-Physical and Thermal-Fluid-Solid Problems in Composite Autoclave Curing Process.Materials (Basel, Switzerland) · 2025Article
- Drug coated balloons in percutaneous coronary intervention: how can computational modelling help inform evolving clinical practice?Frontiers in medical technology · 2025Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Equilibrated fluid-solid-growth (FSGe) is a fast, open source, three-dimensional (3D) computational platform for simulating interactions between instantaneous hemodynamics and long-term vessel wall adaptation through mechanobiologically equilibrated growth and remodeling (G&R). Such models can capture evolving geometry, composition, and material properties in health and disease and following clinical interventions. In traditional G&R models, this feedback is modeled through highly simplified fluid solutions, neglecting local variations in blood pressure and wall shear stress (WSS). FSGe overcomes these inherent limitations by strongly coupling the 3D Navier-Stokes equations for blood flow with a 3D equilibrated constrained mixture model (CMMe) for vascular tissue G&R. CMMe allows one to predict long-term evolved mechanobiological equilibria from an original homeostatic state at a computational cost equivalent to that of a standard hyperelastic material model. In illustrative computational examples, we focus on the development of a stable aortic aneurysm in a mouse model to highlight key differences in growth patterns between FSGe and solid-only G&R models. We show that FSGe is especially important in blood vessels with asymmetric stimuli. Simulation results reveal greater local variation in fluid-derived WSS than in intramural stress (IMS). Thus, differences between FSGe and G&R models became more pronounced with the growing influence of WSS relative to pressure. Future applications in highly localized disease processes, such as for lesion formation in atherosclerosis, can now include spatial and temporal variations of WSS.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.