Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/14823
Title: Finite element analysis of a micromechanical model of bone and a new 3D approach to validation
Contributor(s): Evans, Samuel P (author); Parr, WCH (author); Clausen, Philip D (author); Jones, Allan (author); Wroe, Stephen  (author)orcid 
Publication Date: 2012
DOI: 10.1016/j.jbiomech.2012.08.003
Handle Link: https://hdl.handle.net/1959.11/14823
Abstract: Finite Element Analysis (FEA) is now widely used to analyse the mechanical behaviour of bone structures. Ideally, simulations are validated against experimental data. To date, validation of Finite Element Models (FEMs) has been 2 Dimensional (2D) only, being based on comparison with surface-mounted strain gauge readings. In this study we present a novel 3-Dimensional (3D) approach to validation that allows comparison of modelled with experimental results between any two points in 3D space throughout the structure, providing magnitude and direction data for comparison, internally and externally. Specifically, we validate a FEM of a rat tibia, including trabecular network geometry, using a material testing stage housed within a microCT scanner. We further apply novel landmark based morphometric approaches to more effectively compare modelled and experimental results. 542 landmark points on the cortical and trabecular bone surfaces of the model were selected and validated in 3D against experimental data. This approach may hold considerable potential in fields wherein a better understanding of the mechanical behaviour of trabecular networks is important, e.g., the studies of osteoporosis and trabecular loss after orthopaedic implant insertion.
Publication Type: Journal Article
Source of Publication: Journal of Biomechanics, 45(15), p. 2702-2705
Publisher: Elsevier Ltd
Place of Publication: United Kingdom
ISSN: 1873-2380
0021-9290
Fields of Research (FoR) 2008: 060807 Animal Structure and Function
Fields of Research (FoR) 2020: 310911 Animal structure and function
Socio-Economic Objective (SEO) 2008: 970106 Expanding Knowledge in the Biological Sciences
Socio-Economic Objective (SEO) 2020: 280102 Expanding knowledge in the biological sciences
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Environmental and Rural Science

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