Literature DB >> 26224581

Experimental validation of a nonlinear μFE model based on cohesive-frictional plasticity for trabecular bone.

J Schwiedrzik1,2, T Gross3, M Bina3, M Pretterklieber4, P Zysset1, D Pahr3.   

Abstract

Trabecular bone is a porous mineralized tissue playing a major load bearing role in the human body. Prediction of age-related and disease-related fractures and the behavior of bone implant systems needs a thorough understanding of its structure-mechanical property relationships, which can be obtained using microcomputed tomography-based finite element modeling. In this study, a nonlinear model for trabecular bone as a cohesive-frictional material was implemented in a large-scale computational framework and validated by comparison of μFE simulations with experimental tests in uniaxial tension and compression. A good correspondence of stiffness and yield points between simulations and experiments was found for a wide range of bone volume fraction and degree of anisotropy in both tension and compression using a non-calibrated, average set of material parameters. These results demonstrate the ability of the model to capture the effects leading to failure of bone for three anatomical sites and several donors, which may be used to determine the apparent behavior of trabecular bone and its evolution with age, disease, and treatment in the future.
Copyright © 2015 John Wiley & Sons, Ltd.

Entities:  

Keywords:  cohesive-frictional plasticity; experimental validation; parallel computing; trabecular bone; uniaxial compression/tension; μFE

Mesh:

Year:  2015        PMID: 26224581     DOI: 10.1002/cnm.2739

Source DB:  PubMed          Journal:  Int J Numer Method Biomed Eng        ISSN: 2040-7939            Impact factor:   2.747


  9 in total

Review 1.  Post-yield and failure properties of cortical bone.

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

2.  Non-invasive prediction of the mouse tibia mechanical properties from microCT images: comparison between different finite element models.

Authors:  S Oliviero; M Roberts; R Owen; G C Reilly; I Bellantuono; E Dall'Ara
Journal:  Biomech Model Mechanobiol       Date:  2021-02-01

3.  Toward an artificial intelligence-assisted framework for reconstructing the digital twin of vertebra and predicting its fracture response.

Authors:  Hossein Ahmadian; Prasath Mageswaran; Benjamin A Walter; Dukagjin M Blakaj; Eric C Bourekas; Ehud Mendel; William S Marras; Soheil Soghrati
Journal:  Int J Numer Method Biomed Eng       Date:  2022-04-26       Impact factor: 2.648

4.  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

5.  Micro Finite Element models of the vertebral body: Validation of local displacement predictions.

Authors:  Maria Cristiana Costa; Gianluca Tozzi; Luca Cristofolini; Valentina Danesi; Marco Viceconti; Enrico Dall'Ara
Journal:  PLoS One       Date:  2017-07-11       Impact factor: 3.240

6.  Comparison of different microCT-based morphology assessment tools using human trabecular bone.

Authors:  Lukas Steiner; Alexander Synek; Dieter H Pahr
Journal:  Bone Rep       Date:  2020-05-04

7.  Standardizing compression testing for measuring the stiffness of human bone.

Authors:  S Zhao; M Arnold; S Ma; R L Abel; J P Cobb; U Hansen; O Boughton
Journal:  Bone Joint Res       Date:  2018-09-15       Impact factor: 5.853

8.  Efficient materially nonlinear [Formula: see text]FE solver for simulations of trabecular bone failure.

Authors:  Monika Stipsitz; Philippe K Zysset; Dieter H Pahr
Journal:  Biomech Model Mechanobiol       Date:  2019-11-20

Review 9.  A Review on Recent Advances in the Constitutive Modeling of Bone Tissue.

Authors:  Dieter H Pahr; Andreas G Reisinger
Journal:  Curr Osteoporos Rep       Date:  2020-10-17       Impact factor: 5.096

  9 in total

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