Literature DB >> 11006376

A fibril reinforced nonhomogeneous poroelastic model for articular cartilage: inhomogeneous response in unconfined compression.

L P Li1, M D Buschmann, A Shirazi-Adl.   

Abstract

The depth dependence of material properties of articular cartilage, known as the zonal differences, is incorporated into a nonlinear fibril-reinforced poroelastic model developed previously in order to explore the significance of material heterogeneity in the mechanical behavior of cartilage. The material variations proposed are based on extensive observations. The collagen fibrils are modeled as a distinct constituent which reinforces the other two constituents representing proteoglycans and water. The Young's modulus and Poisson's ratio of the drained nonfibrillar matrix are so determined that the aggregate compressive modulus for confined geometry fits the experimental data. Three nonlinear factors are considered, i.e. the effect of finite deformation, the dependence of permeability on dilatation and the fibril stiffening with its tensile strain. Solutions are extracted using a finite element procedure to simulate unconfined compression tests. The features of the model are then demonstrated with an emphasis on the results obtainable only with a nonhomogeneous model, showing reasonable agreement with experiments. The model suggests mechanical behaviors significantly different from those revealed by homogeneous models: not only the depth variations of the strains which are expected by qualitative analyses, but also, for instance, the relaxation-time dependence of the axial strain which is normally not expected in a relaxation test. Therefore, such a nonhomogeneous model is necessary for better understanding of the mechanical behavior of cartilage.

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Year:  2000        PMID: 11006376     DOI: 10.1016/s0021-9290(00)00153-6

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  27 in total

1.  Altered swelling and ion fluxes in articular cartilage as a biomarker in osteoarthritis and joint immobilization: a computational analysis.

Authors:  Sara Manzano; Raquel Manzano; Manuel Doblaré; Mohamed Hamdy Doweidar
Journal:  J R Soc Interface       Date:  2015-01-06       Impact factor: 4.118

2.  A nonlinear biphasic fiber-reinforced porohyperviscoelastic model of articular cartilage incorporating fiber reorientation and dispersion.

Authors:  A Seifzadeh; J Wang; D C D Oguamanam; M Papini
Journal:  J Biomech Eng       Date:  2011-08       Impact factor: 2.097

3.  Anisotropy, inhomogeneity, and tension-compression nonlinearity of human glenohumeral cartilage in finite deformation.

Authors:  Chun-Yuh Huang; Anna Stankiewicz; Gerard A Ateshian; Van C Mow
Journal:  J Biomech       Date:  2005-04       Impact factor: 2.712

Review 4.  Subject-specific analysis of joint contact mechanics: application to the study of osteoarthritis and surgical planning.

Authors:  Corinne R Henak; Andrew E Anderson; Jeffrey A Weiss
Journal:  J Biomech Eng       Date:  2013-02       Impact factor: 2.097

5.  Comparison of different material models of articular cartilage in 3D computational modeling of the knee: Data from the Osteoarthritis Initiative (OAI).

Authors:  Olesya Klets; Mika E Mononen; Petri Tanska; Miika T Nieminen; Rami K Korhonen; Simo Saarakkala
Journal:  J Biomech       Date:  2016-10-25       Impact factor: 2.712

6.  Towards the feasibility of using ultrasound to determine mechanical properties of tissues in a bioreactor.

Authors:  Joseph M Mansour; Di-Win Marine Gu; Chen-Yuan Chung; Joseph Heebner; Jake Althans; Sarah Abdalian; Mark D Schluchter; Yiying Liu; Jean F Welter
Journal:  Ann Biomed Eng       Date:  2014-08-05       Impact factor: 3.934

7.  Two-dimensional strain fields on the cross-section of the bovine humeral head under contact loading.

Authors:  Clare E Canal; Clark T Hung; Gerard A Ateshian
Journal:  J Biomech       Date:  2008-10-25       Impact factor: 2.712

8.  Modeling the matrix of articular cartilage using a continuous fiber angular distribution predicts many observed phenomena.

Authors:  Gerard A Ateshian; Vikram Rajan; Nadeen O Chahine; Clare E Canal; Clark T Hung
Journal:  J Biomech Eng       Date:  2009-06       Impact factor: 2.097

9.  Molecular NMR T2 values can predict cartilage stress-relaxation parameters.

Authors:  Ronald K June; David P Fyhrie
Journal:  Biochem Biophys Res Commun       Date:  2008-09-24       Impact factor: 3.575

10.  Multimodal evaluation of tissue-engineered cartilage.

Authors:  Joseph M Mansour; Jean F Welter
Journal:  J Med Biol Eng       Date:  2013-02-01       Impact factor: 1.553

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