On the characteristics of natural hydraulic dampers: An image-based approach to study the fluid flow behaviour inside the human meniscal tissue
J. Waghorne, F.P. Bonomo, A. Rabbani, D. Bell, O. Barrera

TL;DR
This study introduces a novel CFD-Image Analysis approach to investigate fluid flow in human meniscal tissue, revealing how structural features influence flow regimes and permeability across different velocities.
Contribution
The paper combines CFD with high-resolution imaging to analyze meniscal fluid dynamics, providing new insights into structure-flow relationships in biological tissues.
Findings
Flow transitions from Darcy to non-Darcian around 0.02 m/s.
Permeability ranges from 20 to 32 Darcy depending on location.
Strong correlation between tortuosity and fluid velocity at high velocities.
Abstract
The meniscal tissue is a layered material with varying properties influenced by collagen content and arrangement. Understanding the relationship between structure and properties is crucial for disease management, treatment development, and biomaterial design. The internal layer of the meniscus is softer and more deformable than the outer layers, thanks to interconnected collagen channels that guide fluid flow. To investigate these relationships, we propose a novel approach that combines Computational Fluid Dynamics (CFD) with Image Analysis (CFD-IA). We analyze fluid flow in the internal architecture of the human meniscus across a range of inlet velocities (0.1mm/s to 1.6m/s) using high-resolution 3D micro-computed tomography scans. Statistical correlations are observed between architectural parameters (tortuosity, connectivity, porosity, pore size) and fluid flow parameters (Re number…
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Taxonomy
TopicsSports injuries and prevention · Tendon Structure and Treatment · Shoulder Injury and Treatment
