Abstract
A proximal humerus fracture is an injury to the shoulder joint that necessitates medical attention. While it is one of the most common fracture injuries impacting the elder community and those who suffer from traumatic falls or forceful collisions, there are almost no validated computational methods that can accurately model these fractures. This could be due to the complex, inhomogeneous bone microstructure, complex geometries, and the limitations of current fracture mechanics methods. In this paper, we develop a novel phase field method to investigate the proximal humerus fracture. To model the fracture in the inhomogeneous domain, we propose a power-law relationship between bone mineral density and critical energy release rate. The method is validated by an in vitro experiment, in which a human humerus is constrained on both ends while subjected to compressive loads on its head, in the longitudinal direction, that lead to fracture at the anatomical neck. CT scans are employed to acquire the bone geometry and material parameters, from which detailed finite element meshes with inhomogeneous Young modulus distributions are generated. The numerical method, implemented in a high performance computing environment, is used to quantitatively predict the complex 3D brittle fracture of the bone and is shown to be in good agreement with experimental observations. Furthermore, our findings show that the damage is initiated in the trabecular bone-head and propagates outward towards the bone cortex. We conclude that the proposed phase field method is a promising approach to model bone fracture.
Original language | English |
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Article number | e3211 |
Journal | International Journal for Numerical Methods in Biomedical Engineering |
Volume | 35 |
Issue number | 8 |
DOIs | |
State | Published - 1 Aug 2019 |
Externally published | Yes |
Keywords
- crack propagation
- humerus fracture
- phase field method
- proximal
ASJC Scopus subject areas
- Software
- Biomedical Engineering
- Modeling and Simulation
- Molecular Biology
- Computational Theory and Mathematics
- Applied Mathematics