Literature DB >> 18423473

Indirect determination of trabecular bone effective tissue failure properties using micro-finite element simulations.

E Verhulp1, B van Rietbergen, R Müller, R Huiskes.   

Abstract

Trabecular bone strength is marked not only by the onset of local yielding, but also by post-yield behavior. To study and predict trabecular bone elastic and yield properties, micro-finite element (micro-FE) models were successfully applied. However, trabecular bone strength predictions require micro-FE models incorporating post-yield behavior of trabecular bone tissue. Due to experimental difficulties, such data is currently not available. Here we used micro-FE modeling to determine failure behavior of trabecular bone tissue indirectly, by iteratively fitting FE simulation to experimental results. Failure parameters were fitted to an isotropic plasticity model based on Hill's yield function, using materially and geometrically nonlinear micro-FE models of seven bovine trabecular bone specimens. The predictive value of the averaged effective tissue properties was subsequently tested. The results showed that compression softening had to be included on the tissue level in order to accurately describe the apparent-level behavior of the bone specimens. A sensitivity study revealed that the simulated response was less sensitive to variations in the post-yield properties of the bone tissue than variations in the elastic and yield properties. Due to fitting of the tissue properties, apparent-level behavior could be accurately reproduced for each specimen separately. Predictions based on the averaged and fixed tissue properties were less accurate, due to inter-specimen variations in the tissue properties.

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Year:  2008        PMID: 18423473     DOI: 10.1016/j.jbiomech.2008.02.032

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


  18 in total

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Review 3.  Biomechanics and mechanobiology of trabecular bone: a review.

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Journal:  J Biomech Eng       Date:  2015-01       Impact factor: 2.097

4.  Ketogenic diet compromises vertebral microstructure and biomechanical characteristics in mice.

Authors:  Xiuhua Wu; Jianyang Ding; Xiaolin Xu; Xiaomeng Wang; Junhao Liu; Jie Jiang; Qi Liu; Ganggang Kong; Zucheng Huang; Zhou Yang; Qingan Zhu
Journal:  J Bone Miner Metab       Date:  2019-04-09       Impact factor: 2.626

5.  High-Resolution Cone-Beam Computed Tomography is a Fast and Promising Technique to Quantify Bone Microstructure and Mechanics of the Distal Radius.

Authors:  Karen Mys; Peter Varga; Filip Stockmans; Boyko Gueorguiev; Verena Neumann; Olivier Vanovermeire; Caroline E Wyers; Joop P W van den Bergh; G Harry van Lenthe
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6.  Potential of in vivo MRI-based nonlinear finite-element analysis for the assessment of trabecular bone post-yield properties.

Authors:  Ning Zhang; Jeremy F Magland; Chamith S Rajapakse; Yusuf A Bhagat; Felix W Wehrli
Journal:  Med Phys       Date:  2013-05       Impact factor: 4.071

7.  Mechanical and microarchitectural analyses of cancellous bone through experiment and computer simulation.

Authors:  Ardiyansyah Syahrom; Mohammed Rafiq Abdul Kadir; Jaafar Abdullah; Andreas Öchsner
Journal:  Med Biol Eng Comput       Date:  2011-09-24       Impact factor: 2.602

8.  Vertebral fragility and structural redundancy.

Authors:  Aaron J Fields; Shashank Nawathe; Senthil K Eswaran; Michael G Jekir; Mark F Adams; Panayiotis Papadopoulos; Tony M Keaveny
Journal:  J Bone Miner Res       Date:  2012-10       Impact factor: 6.741

9.  Theoretical bounds for the influence of tissue-level ductility on the apparent-level strength of human trabecular bone.

Authors:  Shashank Nawathe; Frédéric Juillard; Tony M Keaveny
Journal:  J Biomech       Date:  2013-03-14       Impact factor: 2.712

10.  Higher doses of bisphosphonates further improve bone mass, architecture, and strength but not the tissue material properties in aged rats.

Authors:  Mohammad Shahnazari; Wei Yao; WeiWei Dai; Bob Wang; Sophi S Ionova-Martin; Robert O Ritchie; Daniel Heeren; Andrew J Burghardt; Daniel P Nicolella; Michael G Kimiecik; Nancy E Lane
Journal:  Bone       Date:  2009-11-26       Impact factor: 4.398

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