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Mechanical characterisation of human and porcine scalp tissue at dynamic strain rates
Author(s)
Date Issued
2019-12
Date Available
2019-10-01T12:04:32Z
Abstract
Several biomedical applications require knowledge of the behaviour of the scalp, including skin grafting, skin expansion and head impact biomechanics. Scalp tissue exhibits a non-linear stress-strain relationship, anisotropy and its mechanical properties depend on strain rate. When modelling the behaviour of the scalp, all these factors should be considered in order to perform realistic simulations. Here, tensile tests at strain rates between 0.005 and 100 s−1 have been conducted on porcine and human scalp in order to investigate the non-linearity, anisotropy, and strain rate dependence of the scalp mechanical properties. The effect of the orientation of the sample with respect to the Skin Tension Lines (STLs) was considered during the test. The results showed that anisotropy is evident in the hyperelastic response at low strain rates (0.005 s−1) but not at higher strain rates (15-100 s−1). The mechanical properties of porcine scalp differ from human scalp. In particular, the elastic modulus and the Ultimate Tensile Strength (UTS) of the porcine scalp were found to be almost twice the values of the human scalp, whereas the stretch at failure was not found to be significantly different. An anisotropic hyperelastic model (Gasser-Ogden-Holzapfel) was used to model the quasi-static behaviour of the tissue, whereas three different isotropic hyperelastic models (Fung, Gent and Ogden) were used to model the behaviour of scalp tissue at higher strain rates. The experimental results outlined here have important implications for those wishing to model the mechanical behaviour of scalp tissue both under quasi-static and dynamic loading conditions.
Sponsorship
European Commission Horizon 2020
Type of Material
Journal Article
Publisher
Elsevier
Journal
Journal of the Mechanical Behavior of Biomedical Materials
Volume
100
Copyright (Published Version)
2019 Elsevier
Language
English
Status of Item
Peer reviewed
ISSN
1751-6161
This item is made available under a Creative Commons License
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Name
Manuscript with marked corrections - Antonia Trotta- Repository.pdf
Size
1.82 MB
Format
Adobe PDF
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