Prediction of the inelastic behaviour of radius segments:​ damage-based nonlinear micro finite element simulation vs Pistoia criterion

Stipsitz, Monika; Zysset, Philippe K.; Pahr, Dieter H.

Affiliations

¹Institute of Lightweight Design and Structural Biomechanics, TU Wien, Austria

²ARTORG Center for Biomedical Engineering Research, University of Bern, Switzerland

³Division Biomechanics, Karl Landsteiner University, Austria

Abstract and keywords

The Pistoia criterion (PC) is widely used to estimate the failure load of distal radius segments based on linear micro Finite Element (μFE) analyses. The advantage of the PC is that a simple strain-threshold and a tissue volume fraction can be used to predict failure properties. In this study, the PC is compared to materially nonlinear μFE analyses, where the bone tissue is modelled as an elastic, damageable material. The goal was to investigate for which outcomes the PC is sufficient and when a nonlinear (NL) simulation is required. Three types of simulation results were compared: (1) prediction of the failure load, (2) load sharing of cortical and trabecular regions, and (3) distribution of local damaged/overstrained tissue at the maximum sustainable load. The failure load obtained experimentally could be predicted well with both the PC and the NL simulations using linear regression. Although the PC strongly overestimated the failure load, it was sufficient to predict adequately normalized apparent results. An optimised PC (oPC) was proposed which uses experimental data to calibrate the individual volume of overstrained tissue. The main areas of local over-straining predicted by the oPC were the same as estimated by the NL simulation, although the oPC predicted more diffuse regions. However, the oPC relied on an individual calibration requiring the experimental failure load while the NL simulation required no a priori knowledge of the experimental failure load.

Keywords: Nonlinear material; Micro finite element; Pistoia criterion; Bone failure

Links

DOI: 10.1016/j.jbiomech.2020.110205

PubMed: 33476984

WoS: 000624896800012

History

Revised: 2020-12-12

Accepted: 2020-12-12

Online: 2021-01-2

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Cited By (2)

Year	Entry
2022	Uppuganti S, Ketsiri T, Zhang Y, Does MD, Nyman JS. HR-pQCT parameters of the distal radius correlate with the bending strength of the radial diaphysis. Bone. August 2022;161:116429.
2022	Ortner L. Comparison of Peri-Implant Loading in Screw-Bone Constructs Predicted by Homogenized and Micro FE Models [Master's thesis]. Vienna University of Technology; May 11, 2022.