The effect of highly inhomogeneous biphasic properties on mechanical behaviour of articular cartilage

Author(s):  
Weijian Lin ◽  
Qingen Meng ◽  
Junyan Li ◽  
Zhenxian Chen ◽  
Zhongmin Jin
Author(s):  
Mario Alberto Accardi ◽  
Daniele Dini

A significant component of our understanding of cartilage mechanical behaviour is the ability to model its response to various types of mechanical loading, for which we require detailed knowledge of cartilage material properties. The Finite Element Analysis software ABAQUS is renowned for the ability to model poroelastic materials using the soil consolidation theory. In this research, ABAQUS has been used to model and investigate the mechanical behaviour of articular cartilage, mainly using indentation and unconfined compression techniques. A biphasic model of articular cartilage was first created and subsequently modified to incorporate more detailed material descriptions. Various material constitutive laws (and mechanical properties), accounting for the strain dependent permeability of the porous matrix, solid viscoelasticity and transverse isotropy, have been adopted to produce increasingly sophisticated models. The presence of collagen fibril networks embedded in the solid has been also considered and Fibril Reinforced Elastic and Viscoelastic models produced. A salient feature of these models is their ability to simulate fibril stiffening by replicating the nonlinear fibrillar response. In this paper, we provide an overview of the state-of-art modelling techniques adopted to simulate cartilage behaviour. The comparative study performed by the authors provides a critical assessment of the effectiveness of such techniques.


2006 ◽  
Vol 6 (3) ◽  
pp. 139-150 ◽  
Author(s):  
S.-K. Han ◽  
S. Federico ◽  
A. Grillo ◽  
G. Giaquinta ◽  
W. Herzog

Author(s):  
Fulin Lei ◽  
Andras Z Szeri

The paper presents a three-dimensional microstructural model that was developed to study both equilibrium and time-dependent mechanical behaviour of articular cartilage. The model is based on consolidation theory and makes use of the structure and the mechanical properties of tissue components. Fibrils provide tensile stiffness in this model, whose geometric orientation is described by distribution functions that can be changed freely, making the model applicable to any particular fibril configuration. The model is capable of quantitatively predicting equilibrium properties of the different tests using a single set of model parameters, and explains the anomaly that small compressive modulus and small Poisson's ratio are observed in unconfined compression while tension is governed by large tensile modulus and large Poisson's ratio.


2013 ◽  
Vol 10 (78) ◽  
pp. 20120608 ◽  
Author(s):  
Deva D. Chan ◽  
Corey P. Neu

Osteoarthritis (OA) is a debilitating disease that reflects a complex interplay of biochemical, biomechanical, metabolic and genetic factors, which are often triggered by injury, and mediated by inflammation, catabolic cytokines and enzymes. An unmet clinical need is the lack of reliable methods that are able to probe the pathogenesis of early OA when disease-rectifying therapies may be most effective. Non-invasive quantitative magnetic resonance imaging (qMRI) techniques have shown potential for characterizing the structural, biochemical and mechanical changes that occur with cartilage degeneration. In this paper, we review the background in articular cartilage and OA as it pertains to conventional MRI and qMRI techniques. We then discuss how conventional MRI and qMRI techniques are used in clinical and research environments to evaluate biochemical and mechanical changes associated with degeneration. Some qMRI techniques allow for the use of relaxometry values as indirect biomarkers for cartilage components. Direct characterization of mechanical behaviour of cartilage is possible via other specialized qMRI techniques. The combination of these qMRI techniques has the potential to fully characterize the biochemical and biomechanical states that represent the initial changes associated with cartilage degeneration. Additionally, knowledge of in vivo cartilage biochemistry and mechanical behaviour in healthy subjects and across a spectrum of osteoarthritic patients could lead to improvements in the detection, management and treatment of OA.


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