Literature DB >> 8894927

Age-related differences in post-yield damage in human cortical bone. Experiment and model.

A C Courtney1, W C Hayes, L J Gibson.   

Abstract

Very few quantitative comparisons between mechanical test behavior of cortical bone and microscopic evidence of damage have been reported. In this study, the hypothesis that age-related degradation of mechanical properties in human cortical bone is associated with increases in damage in the form of microcracks was investigated. The initial modulus and yield stress were 6% (not significant) and 10% (p = 0.05) lower, respectively, in specimens from elderly femora than in specimens from young adult femora. However, both groups showed a 34% decrease in modulus after being loaded to 1% strain. Microcracks were observed in cement lines and between lamellae and were parallel to the loading direction. There were 50% more cracks in longitudinal sections of tested specimens than in controls from elderly femora; however, there were no more cracks in tested specimens than in controls from young adult femora. In addition, there were twice as many cracks in controls and three times as many cracks in tested specimens from elderly femora than in those from young adult femora (p < 0.01). A microstructurally based model was developed which supported the mechanical test results and indicated that damage began to develop at about 1500 mu epsilon. The results suggest that older bone may have reduced mechanical properties due to the presence of more microcracks, and that older bone is more susceptible to developing microcracks at a given strain level. However, the mechanical test data indicate that specimens from young adult femora also sustained some king of damage as a result of mechanical loading, which requires further investigation.

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Year:  1996        PMID: 8894927     DOI: 10.1016/0021-9290(96)84542-8

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


  23 in total

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Authors:  David Burr
Journal:  Osteoporos Int       Date:  2003-08-29       Impact factor: 4.507

2.  Effect of mineral content on the nanoindentation properties and nanoscale deformation mechanisms of bovine tibial cortical bone.

Authors:  Kuangshin Tai; Hang J Qi; Christine Ortiz
Journal:  J Mater Sci Mater Med       Date:  2005-10       Impact factor: 3.896

3.  A novel scratching approach for measuring age-related changes in the in situ toughness of bone.

Authors:  X Wang; Y J Yoon; H Ji
Journal:  J Biomech       Date:  2006-08-09       Impact factor: 2.712

4.  A novel approach to assess post-yield energy dissipation of bone in tension.

Authors:  Xiaodu Wang; Jeffry S Nyman
Journal:  J Biomech       Date:  2007       Impact factor: 2.712

5.  Assessment of bone tissue mineralization by conventional x-ray microcomputed tomography: comparison with synchrotron radiation microcomputed tomography and ash measurements.

Authors:  G J Kazakia; A J Burghardt; S Cheung; S Majumdar
Journal:  Med Phys       Date:  2008-07       Impact factor: 4.071

6.  Constitutive relationship of tissue behavior with damage accumulation of human cortical bone.

Authors:  Qing Luo; Huijie Leng; Rae Acuna; Xuanliang Neil Dong; Qiguo Rong; Xiaodu Wang
Journal:  J Biomech       Date:  2010-05-15       Impact factor: 2.712

7.  Hierarchy of Bone Microdamage at Multiple Length Scales.

Authors:  Deepak Vashishth
Journal:  Int J Fatigue       Date:  2007-06       Impact factor: 5.186

Review 8.  Bone microdamage, remodeling and bone fragility: how much damage is too much damage?

Authors:  Zeynep Seref-Ferlengez; Oran D Kennedy; Mitchell B Schaffler
Journal:  Bonekey Rep       Date:  2015-03-18

Review 9.  Post-yield and failure properties of cortical bone.

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

10.  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

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