392
Views
18
CrossRef citations to date
0
Altmetric
Articles

The influence of yield surface shape and damage in the depth-dependent response of bone tissue to nanoindentation using spherical and Berkovich indenters

&
Pages 492-505 | Received 12 Dec 2012, Accepted 19 Jun 2013, Published online: 26 Sep 2013
 

Abstract

Prevention and treatment of osteoporosis rely on understanding of the micromechanical behaviour of bone and its influence on fracture toughness and cell-mediated adaptation processes. Postyield properties may be assessed by nonlinear finite element simulations of nanoindentation using elastoplastic and damage models. This computational study aims at determining the influence of yield surface shape and damage on the depth-dependent response of bone to nanoindentation using spherical and conical tips. Yield surface shape and damage were shown to have a major impact on the indentation curves. Their influence on indentation modulus, hardness, their ratio as well as the elastic-to-total work ratio is well described by multilinear regressions for both tip shapes. For conical tips, indentation depth was not statistically significant (). For spherical tips, damage was not a significant parameter (). The gained knowledge can be used for developing an inverse method for identification of postelastic properties of bone from nanoindentation.

Acknowledgement

The authors would like to thank Dr Uwe Wolfram for his comments on the statistical analysis and for proofreading the manuscript.

Additional information

Funding

This work was supported by a Ph.D. scholarship of the German National Academic Foundation and the University of Bern.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.