Literature DB >> 23159819

Fabric-based Tsai-Wu yield criteria for vertebral trabecular bone in stress and strain space.

Uwe Wolfram1, Thomas Gross, Dieter H Pahr, Jakob Schwiedrzik, Hans-Joachim Wilke, Philippe K Zysset.   

Abstract

Osteoporosis related vertebral fractures are an increasing clinical problem in ageing societies. The prediction of vertebral fracture load from QCT-based anatomy-specific finite element simulations could be very useful in the management of patients with osteoporosis, especially with regard to a possible fracture prevention or treatment optimisation. A key property in finite element analysis is the yield surface for the trabecular bone material. This study is aimed at identifying continuum-level yield criteria for vertebral trabecular bone using micro-finite element models subjected to uni-axial, shear, and tri-axial loading. A fabric-dependent, orthotropic Tsai-Wu yield criterion is proposed in both stress and strain spaces. Nonlinear micro-finite element models of cubic vertebral trabecular bone samples with 5.62 mm edge length were generated from μCT-scans. Kinematic boundary conditions were imposed and the specimen was loaded force controlled beyond yield in 17 different load cases (six uni-axial, three shear and eight multi-axial). The proposed yield criteria were fitted to the resulting yield data. Yield strains on-axis were significantly lower (10% in tension and 6% in compression) than in the transverse directions. Average yield strains were 0.7% in tension, 1.1% in compression, 1.0% in shear and ranged from 0.6% to 1.1% under multi-axial loading. In axial direction, maximum yield stress was 2.6 MPa in tension and 4.7 MPa in compression. Lowest shear stress was found in the transverse plane with 1.3 MPa. Multi-axial yield stresses ranged between values for uni-axial tension and compression. Yield stresses depended significantly and substantially on both volume fraction and fabric. Yield strains depended also significantly on both bone volume fraction and fabric, but only weakly on the former. The standard error of the estimate and the concordance correlation coefficient of the yield surface were 5.47% and 0.93 in strain space and 13.58% and 0.96 in stress space. The results of this study are not only consistent with experimental data from the literature but also extend the current knowledge of yield to multi-axial load cases that can hardly be realised in a biomechanical experiment. The presented yield data and criteria will help improving the prediction of vertebral ultimate load using anatomy-specific finite element models.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 23159819     DOI: 10.1016/j.jmbbm.2012.07.005

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


  14 in total

1.  Biaxial normal strength behavior in the axial-transverse plane for human trabecular bone--effects of bone volume fraction, microarchitecture, and anisotropy.

Authors:  Arnav Sanyal; Tony M Keaveny
Journal:  J Biomech Eng       Date:  2013-12       Impact factor: 2.097

2.  The quartic piecewise-linear criterion for the multiaxial yield behavior of human trabecular bone.

Authors:  Arnav Sanyal; Joanna Scheffelin; Tony M Keaveny
Journal:  J Biomech Eng       Date:  2015-01       Impact factor: 2.097

Review 3.  Patient-Specific Bone Multiscale Modelling, Fracture Simulation and Risk Analysis-A Survey.

Authors:  Amadeus C S de Alcântara; Israel Assis; Daniel Prada; Konrad Mehle; Stefan Schwan; Lucia Costa-Paiva; Munir S Skaf; Luiz C Wrobel; Paulo Sollero
Journal:  Materials (Basel)       Date:  2019-12-24       Impact factor: 3.623

4.  Scalable MSC-derived bone tissue modules: In vitro assessment of differentiation, matrix deposition, and compressive load bearing.

Authors:  Kevin Barrett Miles; Tristan Maerz; Howard William Trevor Matthew
Journal:  Acta Biomater       Date:  2019-01-14       Impact factor: 8.947

5.  The sensitivity of nonlinear computational models of trabecular bone to tissue level constitutive model.

Authors:  Andrew P Baumann; Xiutao Shi; Ryan K Roeder; Glen L Niebur
Journal:  Comput Methods Biomech Biomed Engin       Date:  2015-05-11       Impact factor: 1.763

Review 6.  Post-yield and failure properties of cortical bone.

Authors:  Uwe Wolfram; Jakob Schwiedrzik
Journal:  Bonekey Rep       Date:  2016-08-24

7.  Accurate and Efficient Plate and Rod Micro Finite Element Whole Bone Models Based on High-Resolution Peripheral Computed Tomography.

Authors:  Ji Wang; Bin Zhou; Yizhong Hu; Zhendong Zhang; Y Eric Yu; Shashank Nawathe; Kyle K Nishiyama; Tony M Keaveny; Elizabeth Shane; X Edward Guo
Journal:  J Biomech Eng       Date:  2019-01-31       Impact factor: 2.097

8.  Effect of including damage at the tissue level in the nonlinear homogenisation of trabecular bone.

Authors:  Francesc Levrero-Florencio; Krishnagoud Manda; Lee Margetts; Pankaj Pankaj
Journal:  Biomech Model Mechanobiol       Date:  2017-05-12

9.  Predicting Trabecular Bone Stiffness from Clinical Cone-Beam CT and HR-pQCT Data; an In Vitro Study Using Finite Element Analysis.

Authors:  Eva Klintström; Benjamin Klintström; Rodrigo Moreno; Torkel B Brismar; Dieter H Pahr; Örjan Smedby
Journal:  PLoS One       Date:  2016-08-11       Impact factor: 3.240

10.  Using Non-linear Homogenization to Improve the Performance of Macroscopic Damage Models of Trabecular Bone.

Authors:  Francesc Levrero-Florencio; Pankaj Pankaj
Journal:  Front Physiol       Date:  2018-05-17       Impact factor: 4.566

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