Literature DB >> 19394019

Systematic error in mechanical measures of damage during four-point bending fatigue of cortical bone.

Matthew D Landrigan1, Ryan K Roeder.   

Abstract

Accumulation of fatigue microdamage in cortical bone specimens is commonly measured by a modulus or stiffness degradation after normalizing tissue heterogeneity by the initial modulus or stiffness of each specimen measured during a preloading step. In the first experiment, the initial specimen modulus defined using linear elastic beam theory (LEBT) was shown to be nonlinearly dependent on the preload level, which subsequently caused systematic error in the amount and rate of damage accumulation measured by the LEBT modulus degradation. Therefore, the secant modulus is recommended for measurements of the initial specimen modulus during preloading. In the second experiment, different measures of mechanical degradation were directly compared and shown to result in widely varying estimates of damage accumulation during fatigue. After loading to 400,000 cycles, the normalized LEBT modulus decreased by 26% and the creep strain ratio decreased by 58%, but the normalized secant modulus experienced no degradation and histology revealed no significant differences in microcrack density. The LEBT modulus was shown to include the combined effect of both elastic (recovered) and creep (accumulated) strain. Therefore, at minimum, both the secant modulus and creep should be measured throughout a test to most accurately indicate damage accumulation and account for different damage mechanisms. Histology revealed indentation of tissue adjacent to roller supports, with significant sub-surface damage beneath large indentations, accounting for 22% of the creep strain on average. The indentation of roller supports resulted in inflated measures of the LEBT modulus degradation and creep. The results of this study suggest that investigations of fatigue microdamage in cortical bone should avoid the use of four-point bending unless no other option is possible.

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Year:  2009        PMID: 19394019      PMCID: PMC2745837          DOI: 10.1016/j.jbiomech.2009.03.016

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


  28 in total

1.  Fatigue data analysis of canine femurs under four-point bending.

Authors:  R M Pidaparti; U Akyuz; P A Naick; D B Burr
Journal:  Biomed Mater Eng       Date:  2000       Impact factor: 1.300

2.  The importance of the elastic and plastic components of strain in tensile and compressive fatigue of human cortical bone in relation to orthopaedic biomechanics.

Authors:  K Winwood; P Zioupos; J D Currey; J R Cotton; M Taylor
Journal:  J Musculoskelet Neuronal Interact       Date:  2006 Apr-Jun       Impact factor: 2.041

3.  Artifactual nonlinearity due to wear grooves and friction in four-point bending experiments of cortical bone.

Authors:  L V Griffin; J C Gibeling; V A Gibson; R B Martin; S M Stover
Journal:  J Biomech       Date:  1997-02       Impact factor: 2.712

4.  Sex differences in long bone fatigue using a rat model.

Authors:  Luisa D Moreno; Stephen D Waldman; Marc D Grynpas
Journal:  J Orthop Res       Date:  2006-10       Impact factor: 3.494

5.  Bone creep-fatigue damage accumulation.

Authors:  W E Caler; D R Carter
Journal:  J Biomech       Date:  1989       Impact factor: 2.712

6.  Fluorescence-aided detection of microdamage in compact bone.

Authors:  T C Lee; E R Myers; W C Hayes
Journal:  J Anat       Date:  1998-08       Impact factor: 2.610

7.  Do microcracks decrease or increase fatigue resistance in cortical bone?

Authors:  O S Sobelman; J C Gibeling; S M Stover; S J Hazelwood; O C Yeh; D R Shelton; R B Martin
Journal:  J Biomech       Date:  2004-09       Impact factor: 2.712

8.  Effects of the reinforcement morphology on the fatigue properties of hydroxyapatite reinforced polymers.

Authors:  Robert J Kane; Gabriel L Converse; Ryan K Roeder
Journal:  J Mech Behav Biomed Mater       Date:  2008-07

9.  Fatigue behavior of the equine third metacarpus: mechanical property analysis.

Authors:  V A Gibson; S M Stover; R B Martin; J C Gibeling; N H Willits; M B Gustafson; L V Griffin
Journal:  J Orthop Res       Date:  1995-11       Impact factor: 3.494

10.  Deformation behaviour and damage accumulation of cortical bone specimens from the equine tibia under cyclic loading.

Authors:  Claudia Fleck; Dietmar Eifler
Journal:  J Biomech       Date:  2003-02       Impact factor: 2.712

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  6 in total

Review 1.  The Role of Matrix Composition in the Mechanical Behavior of Bone.

Authors:  Mustafa Unal; Amy Creecy; Jeffry S Nyman
Journal:  Curr Osteoporos Rep       Date:  2018-06       Impact factor: 5.096

2.  The resistance of cortical bone tissue to failure under cyclic loading is reduced with alendronate.

Authors:  Devendra Bajaj; Joseph R Geissler; Matthew R Allen; David B Burr; J C Fritton
Journal:  Bone       Date:  2014-04-01       Impact factor: 4.398

3.  Non destructive characterization of cortical bone micro-damage by nonlinear resonant ultrasound spectroscopy.

Authors:  Sylvain Haupert; Sandra Guérard; Françoise Peyrin; David Mitton; Pascal Laugier
Journal:  PLoS One       Date:  2014-01-02       Impact factor: 3.240

4.  Self-repair of rat cortical bone microdamage after fatigue loading in vivo.

Authors:  Bo Wu; Chan Zhang; Bo Chen; Ling Zhang; Ruchun Dai; Xianping Wu; Yebin Jiang; Eryuan Liao
Journal:  Int J Endocrinol       Date:  2013-04-10       Impact factor: 3.257

5.  Nanoscale examination of microdamage in sheep cortical bone using synchrotron radiation transmission x-ray microscopy.

Authors:  Garry R Brock; Grace Kim; Anthony R Ingraffea; Joy C Andrews; Piero Pianetta; Marjolein C H van der Meulen
Journal:  PLoS One       Date:  2013-03-05       Impact factor: 3.240

6.  A novel method for bone fatigue monitoring and prediction.

Authors:  Michelle L Cler; Joseph J Kuehl; Carolyn Skurla; David Chelidze
Journal:  Bone Rep       Date:  2019-08-17
  6 in total

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