Literature DB >> 16271757

Fracture length scales in human cortical bone: the necessity of nonlinear fracture models.

Q D Yang1, Brian N Cox, Ravi K Nalla, R O Ritchie.   

Abstract

Recently published data for fracture in human humeral cortical bone are analyzed using cohesive-zone models to deal with the nonlinear processes of material failure. Such models represent the nonlinear deformation processes involved in fracture by cohesive tractions exerted by the failing material along a fracture process zone, rather than attributing all damage to a process occurring at a single point, as in conventional linear-elastic fracture mechanics (LEFM). The relationship between the tractions and the net displacement discontinuity across the process zone is hypothesized to be a material property for bone. To test this hypothesis, the cohesive law was evaluated by analyzing published load vs. load-point displacement data from one laboratory; the calibrated law was then used to predict similar data taken for a different source of bone using a different specimen geometry in a different laboratory. Further model calculations are presented to illustrate more general characteristics of the nonlinear fracture of bone and to demonstrate in particular that LEFM is not internally consistent for all cases of interest. For example, the fracture toughness of bone deduced via LEFM from test data is not necessarily a material constant, but will take different values for different crack lengths and test configurations. LEFM is valid when the crack is much longer than a certain length scale, representative of the length of the process zone in the cohesive model, which for human cortical bone ranges from 3 to 10mm. Since naturally occurring bones and the specimens used to test them are not much larger than this dimension for most relevant orientations, it is apparent that only nonlinear fracture models can give an internally consistent account of their fracture. The cohesive law is thus a more complete representation of the mechanics of material failure than the single-parameter fracture toughness and may therefore provide a superior measure of bone quality. The analysis of fracture data also requires proper representation of the approximately orthotropic elasticity of the bone specimen; if the specimen is incorrectly assumed to be isotropic, the initial measured compliance cannot be reproduced to within a factor of four and the fracture toughness deduced from the measured work of fracture will be overestimated by approximately 30%.

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Year:  2005        PMID: 16271757     DOI: 10.1016/j.biomaterials.2005.09.040

Source DB:  PubMed          Journal:  Biomaterials        ISSN: 0142-9612            Impact factor:   12.479


  10 in total

1.  Age-related factors affecting the postyield energy dissipation of human cortical bone.

Authors:  Jeffry S Nyman; Anuradha Roy; Jerrod H Tyler; Rae L Acuna; Heather J Gayle; Xiaodu Wang
Journal:  J Orthop Res       Date:  2007-05       Impact factor: 3.494

2.  Degradation in the fatigue crack growth resistance of human dentin by lactic acid.

Authors:  Santiago Orrego; Huakun Xu; Dwayne Arola
Journal:  Mater Sci Eng C Mater Biol Appl       Date:  2016-12-21       Impact factor: 7.328

3.  Can deterministic mechanical size effects contribute to fracture and microdamage accumulation in trabecular bone?

Authors:  Thomas Siegmund; Matthew R Allen; David B Burr
Journal:  J Theor Biol       Date:  2010-04-14       Impact factor: 2.691

Review 4.  Multiscale contribution of bone tissue material property heterogeneity to trabecular bone mechanical behavior.

Authors:  Ashley A Lloyd; Zhen Xiang Wang; Eve Donnelly
Journal:  J Biomech Eng       Date:  2015-01       Impact factor: 2.097

5.  Effects of fatigue induced damage on the longitudinal fracture resistance of cortical bone.

Authors:  Lloyd Fletcher; John Codrington; Ian Parkinson
Journal:  J Mater Sci Mater Med       Date:  2014-04-09       Impact factor: 3.896

6.  Fracture characterization of human cortical bone under mode II loading using the end-notched flexure test.

Authors:  F G A Silva; M F S F de Moura; N Dourado; J Xavier; F A M Pereira; J J L Morais; M I R Dias; P J Lourenço; F M Judas
Journal:  Med Biol Eng Comput       Date:  2016-10-25       Impact factor: 2.602

Review 7.  On the Mechanics of Fatigue and Fracture in Teeth.

Authors:  Mobin Yahyazadehfar; Juliana Ivancik; Hessam Majd; Bingbing An; Dongsheng Zhang; Dwayne Arola
Journal:  Appl Mech Rev       Date:  2014-04-30       Impact factor: 7.281

8.  Probabilistic failure analysis of bone using a finite element model of mineral-collagen composites.

Authors:  X Neil Dong; Teja Guda; Harry R Millwater; Xiaodu Wang
Journal:  J Biomech       Date:  2008-12-05       Impact factor: 2.712

Review 9.  Measurement of the toughness of bone: a tutorial with special reference to small animal studies.

Authors:  R O Ritchie; K J Koester; S Ionova; W Yao; N E Lane; J W Ager
Journal:  Bone       Date:  2008-06-28       Impact factor: 4.398

10.  Microscopic assessment of bone toughness using scratch tests.

Authors:  Amrita Kataruka; Kavya Mendu; Orieka Okeoghene; Jasmine Puthuvelil; Ange-Therese Akono
Journal:  Bone Rep       Date:  2016-12-07
  10 in total

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