Multiscale Computational Model Predicts Mouse Skin Kinematics Under Tensile Loading

Nathaniel Witt; Alan Woessner; Kyle Quinn; Edward Sander

doi:10.1115/1.4052887

Back

Multiscale Computational Model Predicts Mouse Skin Kinematics Under Tensile Loading

Journal article

Open access

Peer reviewed

Multiscale Computational Model Predicts Mouse Skin Kinematics Under Tensile Loading

Nathaniel Witt, Alan Woessner, Kyle Quinn and Edward Sander

Journal of biomechanical engineering, Vol.144(4), 041008

11/03/2021

DOI: 10.1115/1.4052887

PMCID: PMC8719047

PMID: 34729595

Files and links (1)

url

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8719047View

Published (Version of record) Open Access

Abstract

Skin is a complex tissue whose biomechanical properties are generally understood in terms of an incompressible material whose microstructure undergoes affine deformations. A growing number of experiments, however, have demonstrated that skin has a high Poisson’s ratio, substantially decreases in volume during uniaxial tensile loading, and demonstrates collagen fiber kinematics that are not affine with local deformation. In order to better understand the mechanical basis for these properties, we constructed multiscale mechanical models (MSM) of mouse skin based on microstructural multiphoton microscopy imaging of the dermal microstructure acquired during mechanical testing. Three models that spanned the cases of highly aligned, moderately aligned, and nearly random fiber networks were examined and compared to the data acquired from uniaxially stretched skin. Our results demonstrate that MSMs consisting of networks of matched fiber organization can predict the biomechanical behavior of mouse skin, including the large decrease in tissue volume and non-affine fiber kinematics observed under uniaxial tension.

Details

Title: Subtitle: Multiscale Computational Model Predicts Mouse Skin Kinematics Under Tensile Loading
Creators: Nathaniel Witt - University of Iowa
Alan Woessner - Department of Biomedical Engineering, University of Arkansas, Fayetteville, AR, 72701 USA
Kyle Quinn - Department of Biomedical Engineering, University of Arkansas, Fayetteville, AR, 72701 USA
Edward Sander - University of Iowa
Resource Type: Journal article
Publication Details: Journal of biomechanical engineering, Vol.144(4), 041008
DOI: 10.1115/1.4052887
PMID: 34729595
PMCID: PMC8719047
NLM abbreviation: J Biomech Eng
ISSN: 0148-0731
eISSN: 1528-8951
Language: English
Date published: 11/03/2021
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Orthopedics and Rehabilitation; Craniofacial Anomalies Research Center; Chemical and Biochemical Engineering
Record Identifier: 9984193554702771

Metrics

15 Record Views

8 Times Cited - Web of Science