Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/38841
Title: Sensitivity of a two-dimensional biomorphoelastic model for post-burn contraction
Authors: EGBERTS, Ginger 
Desmouliere, Alexis
VERMOLEN, Fred 
van Zuijlen, Paul
Issue Date: 2022
Publisher: SPRINGER HEIDELBERG
Source: Biomechanics and Modeling in Mechanobiology, 22 , p. 105-121
Abstract: We consider a two-dimensional biomorphoelastic model describing post-burn scar contraction. This model describes skin displacement and the development of the effective Eulerian strain in the tissue. Besides these mechanical components, signaling molecules, fibroblasts, myofibroblasts, and collagen also play a significant role in the model. We perform a sensitivity analysis for the independent parameters of the model and focus on the effects on features of the relative surface area and the total strain energy density. We conclude that the most sensitive parameters are the Poisson's ratio, the equilibrium collagen concentration, the contraction inhibitor constant, and the myofibroblast apoptosis rate. Next to these insights, we perform a sensitivity analysis where the proliferation rates of fibroblasts and myofibroblasts are not the same. The impact of this model adaptation is significant.
Notes: Egberts, G (corresponding author), Delft Univ Technol, Delft Inst Appl Math, Delft, Netherlands.; Egberts, G (corresponding author), Univ Hasselt, Dept Math & Stat, Res Grp Computat Math CMAT, Hasselt, Belgium.
G.Egberts@tudelft.nl; fred.vermolen@uhasselt.be
Keywords: Burn;Wound contraction;Sensitivity;Cell proliferation;Morphoelasticity;Moving-grid finite-element
Document URI: http://hdl.handle.net/1942/38841
ISSN: 1617-7959
e-ISSN: 1617-7940
DOI: 10.1007/s10237-022-01634-w
ISI #: 000867522000002
Rights: The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons. org/licenses/by/4.0/.
Category: A1
Type: Journal Contribution
Validations: ecoom 2023
Appears in Collections:Research publications

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