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Updated: Jun 6, 2025
A Coupled Experiment-finite Element Modeling Methodology for Assessing High Strain Rate Mechanical Response of Soft Biomaterials
Published on: May 18, 2015
Biomechanical testing of virtual meniscus implants made from a bi-phasic silk fibroin-based hydrogel and polyurethane
A C Moser1, J Fritz1, A Kesselring2
1Centre for Regenerative Medicine, Department for Health Science, University for Continuing Education Krems, Krems an der Donau, Austria; Austrian Cluster for Tissue Regeneration, Austria.
Objective:
To investigate the suitability of different material compositions and structural designs for 3D-printed meniscus implants using finite element analysis (FEA) to improve joint function after meniscal injury and guide future implant development.
Design:
This experimental study involved in-silico testing of a meniscus model developed from two materials: a specially formulated hydrogel composed of silk fibroin (SF), gelatine, and decellularized meniscus-derived extracellular matrix (MD-dECM), and polyurethane (PU) with stiffness levels of 54 and 205 MPa. Both single-material implants and a two-volumetric meniscus model with an SF/gelatine/MD-dECM core and a PU shell were analysed using FEA to simulate the biomechanical performance under physiological conditions.
Results:
The hydrogel alone was found to be unsuitable for long-term use due to instability in material properties beyond two weeks. PU 54 closely replicated the biomechanical properties of an intact meniscus, particularly in terms of contact pressure and stress distribution. However, hybrid implants combining PU 54 with hydrogel showed potential but required further optimization to reduce stress peaks. In contrast, implants with a PU 205 shell generated higher induced stresses, increasing the risk of material failure.
Conclusions:
FEA proves to be a valuable tool in the design and optimization of meniscal implants. The findings suggest that softer PU 54 is a promising material for mimicking natural meniscus properties, while stiffer materials may require design modifications to mitigate stress concentrations. These insights are crucial for refining implant designs and selecting appropriate material combinations before physical prototype production, potentially reducing costs, time, and the risk of implant failure.
