Issue |
Acta Acust.
Volume 8, 2024
Topical Issue - Vibroacoustics
|
|
---|---|---|
Article Number | 71 | |
Number of page(s) | 13 | |
DOI | https://doi.org/10.1051/aacus/2024056 | |
Published online | 10 December 2024 |
Scientific Article
Finite element modelling tibia bone vibration – the influence of shape, twist, and end scale
Acoustics Research Centre, School of Science, Engineering & Environment, University of Salford, Greater Manchester, M5 4WT, UK
* Corresponding author: j.scanlan1@edu.salford.ac.uk
Received:
13
March
2024
Accepted:
24
August
2024
The percussion response of long bone has the potential to be used as a measure of bone strength for Osteoporosis detection. Modelling the vibration response requires describing the shape of the long bone which can have several features. An overly simplistic model of the shape does not give enough insight into their influence on the vibration response. This paper identifies the key features of the shape of a tibia and femur bone (cross-sectional shape, twist, and scale of the ends) and investigates their individual effects on the eigenfrequencies using finite element modelling. A femur and tibia model are dissected at the thicker ends and length adjusted to isolate the influence of the proximal and distal ends on the eigenfrequencies. Selected cross-sectional shapes are investigated to simplify the modelling and compared to real bone cross-sections and results. The twist is added across the longitudinal axis of the model producing an inline twist to the cross-section and resulting in a 1.5–2.5% decrease in frequencies per 20° of twist. The scale of the cross-sections at the ends of the model are increased along a set length of the bone to emulate the larger proximal and distal end of the long bones. The results show that any model for the vibro-acoustic response of long bones needs to include asymmetry in the cross-section as well as the scaling of the ends.
Key words: Bone / Osteoporosis / Finite element modelling / Resonances / Eigenfrequencies
© The Author(s), Published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.