Document Detail


Modeling shear behavior of the annulus fibrosus.
MedLine Citation:
PMID:  21783119     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Modeling the mechanical properties of the annulus fibrosus has two distinct challenges: the complex loading state experienced in vivo and the anisotropic, nonlinear nature of the tissue. Previous efforts to model the annulus fibrosus have not considered shear data in the analysis, yet the shear response may be critical to understanding tissue behavior and damage. In this study, we compared four hyperelastic constitutive models fitted to uniaxial and biaxial tension, confined compression, and shear experiments from the literature. Models were either directly based on Spencer's formulation for a fiber-reinforced composite material with two equivalent fiber families or represented the annulus as two transversely isotropic materials. Each model was composed of additive strain energy terms that represent specific constituents of the annulus fibrosus (proteoglycan matrix, collagen fibers, and collagen crosslinks). Additionally, we investigated the effect of restricting the fibers such that they supported tensile loads only. Best fit coefficients for these models were calculated both including and excluding shear data from the regression. All of the models fit the data well when shear data was excluded from the regression; when shear data was included in the regression, two models that were based on Spencer's formulation performed better than the others. None of the models could consistently predict data that was not included in the regression. Restricting the fibers to support only tensile loads had only a modest effect on the fit of the models, but did alter which constituent carried the majority of the strain energy in shear deformations. Our study suggests that a single hyperelastic model may capture the anisotropic behavior of the annulus fibrosus for multiple loading cases, including shear. However, care must be taken when extrapolating these models to additional deformations outside of the training dataset.
Authors:
Nathaniel T Hollingsworth; Diane R Wagner
Related Documents :
22254869 - Time-domain ecg signal analysis based on smart-phone.
21642389 - A fused lasso latent feature model for analyzing multi-sample acgh data.
22623339 - Consistent estimation of zero-inflated count models.
21792629 - Open3dalign: an open-source software aimed at unsupervised ligand alignment.
22332319 - Playing with molecules.
21776199 - Erratum to: why i hate the index finger.
16900559 - On estimating treatment effects under non-compliance in randomized clinical trials: are...
23367019 - Investigation of the role of crimps in collagen fibers in tendon with a microstructuall...
20688239 - A predictive microbiology approach for thermal inactivation of hepatitis a virus in aci...
Publication Detail:
Type:  Journal Article     Date:  2011-03-23
Journal Detail:
Title:  Journal of the mechanical behavior of biomedical materials     Volume:  4     ISSN:  1878-0180     ISO Abbreviation:  J Mech Behav Biomed Mater     Publication Date:  2011 Oct 
Date Detail:
Created Date:  2011-07-25     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101322406     Medline TA:  J Mech Behav Biomed Mater     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  1103-14     Citation Subset:  IM    
Copyright Information:
Copyright © 2011 Elsevier Ltd. All rights reserved.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Myocardial transversely isotropic material parameter estimation from in-silico measurements based on...
Next Document:  Hyper-frequency viscoelastic spectroscopy of biomaterials.