Literature DB >> 25460921

Determination of poroelastic properties of cartilage using constrained optimization coupled with finite element analysis.

Chen-Yuan Chung1, Joseph M Mansour2.   

Abstract

The feasibility of determining biphasic material properties using a finite element model of stress relaxation coupled with two types of constrained optimization to match measured data was investigated. Comparison of these two approaches, a zero-order method and a gradient-based algorithm, validated the predicted material properties. Optimizations were started from multiple different initial guesses of material properties (design variables) to establish the robustness of the optimization. Overall, the optimal values are close to those found by Cohen et al. (1998) but these small differences produced a marked improvement in the fit to the measured stress relaxation. Despite the greater deviation in the optimized values obtained from the zero-order method, both optimization procedures produced material properties that gave equally good overall fits to the measured data. Furthermore, optimized values were all within the expected range of material properties. Modeling stress relaxation using the optimized material properties showed an excellent fit to the entire time history of the measured data.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Constrained optimization; Gradient-based algorithm; Poroelasticity; Zero-order method

Mesh:

Year:  2014        PMID: 25460921      PMCID: PMC4286505          DOI: 10.1016/j.jmbbm.2014.10.007

Source DB:  PubMed          Journal:  J Mech Behav Biomed Mater        ISSN: 1878-0180


  20 in total

1.  A cross-validation of the biphasic poroviscoelastic model of articular cartilage in unconfined compression, indentation, and confined compression.

Authors:  M R DiSilvestro; J K Suh
Journal:  J Biomech       Date:  2001-04       Impact factor: 2.712

2.  Inverse analysis of constitutive models: biological soft tissues.

Authors:  Fulin Lei; A Z Szeri
Journal:  J Biomech       Date:  2006-05-30       Impact factor: 2.712

3.  Liver tissue characterization from uniaxial stress-strain data using probabilistic and inverse finite element methods.

Authors:  Y B Fu; C K Chui; C L Teo
Journal:  J Mech Behav Biomed Mater       Date:  2013-01-20

4.  An analysis of the unconfined compression of articular cartilage.

Authors:  C G Armstrong; W M Lai; V C Mow
Journal:  J Biomech Eng       Date:  1984-05       Impact factor: 2.097

5.  Biphasic creep and stress relaxation of articular cartilage in compression? Theory and experiments.

Authors:  V C Mow; S C Kuei; W M Lai; C G Armstrong
Journal:  J Biomech Eng       Date:  1980-02       Impact factor: 2.097

6.  Determination of nonlinear fibre-reinforced biphasic poroviscoelastic constitutive parameters of articular cartilage using stress relaxation indentation testing and an optimizing finite element analysis.

Authors:  A Seifzadeh; D C D Oguamanam; N Trutiak; M Hurtig; M Papini
Journal:  Comput Methods Programs Biomed       Date:  2011-07-30       Impact factor: 5.428

7.  Poro-viscoelastic constitutive modeling of unconfined creep of hydrogels using finite element analysis with integrated optimization method.

Authors:  Kaifeng Liu; Timothy C Ovaert
Journal:  J Mech Behav Biomed Mater       Date:  2010-12-24

8.  Stresses in the local collagen network of articular cartilage: a poroviscoelastic fibril-reinforced finite element study.

Authors:  W Wilson; C C van Donkelaar; B van Rietbergen; K Ito; R Huiskes
Journal:  J Biomech       Date:  2004-03       Impact factor: 2.712

Review 9.  Growth plate mechanics and mechanobiology. A survey of present understanding.

Authors:  Isabelle Villemure; Ian A F Stokes
Journal:  J Biomech       Date:  2009-06-21       Impact factor: 2.712

Review 10.  A review of the combination of experimental measurements and fibril-reinforced modeling for investigation of articular cartilage and chondrocyte response to loading.

Authors:  Petro Julkunen; Wouter Wilson; Hanna Isaksson; Jukka S Jurvelin; Walter Herzog; Rami K Korhonen
Journal:  Comput Math Methods Med       Date:  2013-04-08       Impact factor: 2.238

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  1 in total

1.  Methodology based on genetic heuristics for in-vivo characterizing the patient-specific biomechanical behavior of the breast tissues.

Authors:  M A Lago; M J Rúperez; F Martínez-Martínez; S Martínez-Sanchis; P R Bakic; C Monserrat
Journal:  Expert Syst Appl       Date:  2015-11-30       Impact factor: 6.954

  1 in total

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