Article (Scientific journals)
Guide to mechanical characterization of articular cartilage and hydrogel constructs based on a systematic in silico parameter sensitivity analysis.
Elahi, Seyed Ali; Tanska, Petri; Mukherjee, Satanik et al.
2021In Journal of the Mechanical Behavior of Biomedical Materials, 124, p. 104795
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Keywords :
Hydrogels; Cartilage, Articular; Chondrocytes; Computer Simulation; Tissue Engineering; Articular cartilage; Hydrogel construct; Inverse mechanical characterization; Parameter sensitivity analysis; Tissue engineering
Abstract :
[en] Osteoarthritis is a whole joint disease with cartilage degeneration being an important manifestation. Tissue engineering treatment is a solution for repairing cartilage defects by implantation of chondrocyte-laden hydrogel constructs within the defect. In silico models have recently been introduced to simulate and optimize the design of these constructs. These models require accurate knowledge on the mechanical properties of the hydrogel constructs and cartilage explants, which are challenging to obtain due to their anisotropic structure and time-dependent behaviour. We performed a systematic in silico parameter sensitivity analysis to find the most efficient unconfined compression testing protocols for mechanical characterization of hydrogel constructs and cartilage explants, with a minimum number of tests but maximum identifiability of the material parameters. The construct and explant were thereby modelled as porohyperelastic and fibril-reinforced poroelastic materials, respectively. Three commonly used loading regimes were simulated in Abaqus (ramp, relaxation and dynamic loading) with varying compressive strain magnitudes and rates. From these virtual experiments, the resulting material parameters were obtained for each combination using a numerical inverse identification scheme. For hydrogels, maximum sensitivity to the different material parameters was found when using a single step ramp loading (20% compression with 10%/s rate) followed by 15 min relaxation. For cartilage explants, a two-stepped ramp loading (10% compression with 10%/s rate and 10% compression with 1%/s rate), each step followed by 15 min relaxation, yielded the maximum sensitivity to the different material parameters. With these protocols, the material parameters could be retrieved with the lowest amount of uncertainty (hydrogel: < 2% and cartilage: < 6%). These specific results and the overall methodology can be used to optimize mechanical testing protocols to yield reliable material parameters for in silico models of cartilage and hydrogel constructs.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Elahi, Seyed Ali;  Human Movement Biomechanics Research Group, Department of Movement Sciences, KU
Tanska, Petri;  Department of Applied Physics, University of Eastern Finland, Kuopio, Finland.
Mukherjee, Satanik;  Prometheus, Division of Skeletal Tissue Engineering, KU Leuven, Leuven, Belgium,
Korhonen, Rami K;  Department of Applied Physics, University of Eastern Finland, Kuopio, Finland.
Geris, Liesbet  ;  Université de Liège - ULiège > GIGA > GIGA In silico medecine - Biomechanics Research Unit ; Prometheus, Division of Skeletal Tissue Engineering, KU Leuven, Leuven, Belgium,
Jonkers, Ilse;  Human Movement Biomechanics Research Group, Department of Movement Sciences, KU
Famaey, Nele;  Soft Tissue Biomechanics Group, Biomechanics Division, Mechanical Engineering
Language :
English
Title :
Guide to mechanical characterization of articular cartilage and hydrogel constructs based on a systematic in silico parameter sensitivity analysis.
Publication date :
December 2021
Journal title :
Journal of the Mechanical Behavior of Biomedical Materials
ISSN :
1751-6161
eISSN :
1878-0180
Volume :
124
Pages :
104795
Peer reviewed :
Peer Reviewed verified by ORBi
Commentary :
Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.
Available on ORBi :
since 29 June 2022

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