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Title: | Comparison between a phenomenological approach and a morphoelasticity approach regarding the displacement of extracellular matrix | Authors: | PENG, Qiyao Gorter, W. S. VERMOLEN, Fred |
Issue Date: | 2022 | Publisher: | SPRINGER HEIDELBERG | Source: | BIOMECHANICS AND MODELING IN MECHANOBIOLOGY | Status: | Early view | Abstract: | Plastic (permanent) deformations were earlier, modeled by a phenomenological model in Peng and Vermolen (Biomech Model Mechanobiol 19(6):2525-2551, 2020). In this manusctipt, we consider a more physics-based formulation that is based on morphoelasticity. We firstly introduce the morphoelasticity approach and investigate the impact of various input variables on the output parameters by sensitivity analysis. A comparison of both model formulations shows that both models give similar computational results. Furthermore, we carry out Monte Carlo simulations of the skin contraction model containing the morphoelasticity approach. Most statistical correlations from the two models are similar, however, the impact of the collagen density on the severeness of contraction is larger for the morphoelasticity model than for the phenomenological model. | Notes: | Peng, Q (corresponding author), Leiden Univ, Math Inst, NL-2333 CA Niels Bohrweg, Netherlands.; Peng, Q (corresponding author), Delft Univ Technol, Delft Inst Appl Math, Mekelweg 4, NL-2628 CD Delft, Netherlands.; Peng, Q (corresponding author), Hasselt Univ, Fac Sci, Computat Math Grp, Discipline Grp Math & Stat, Campus Diepenbeek,Agoralaan Gebouw D, BE-3590 Diepenbeek, Belgium. Q.Peng@math.leidenuniv.nl |
Keywords: | Wound healing; Skin contractions; Phenomenological approach;;Morphoelasticity; Force balance; Mechanics | Document URI: | http://hdl.handle.net/1942/37245 | ISSN: | 1617-7959 | e-ISSN: | 1617-7940 | DOI: | 10.1007/s10237-022-01568-3 | ISI #: | WOS:000781033200001 | Rights: | This article is licensed under a Creative Commons Attribution 4.0 International License | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2023 |
Appears in Collections: | Research publications |
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File | Description | Size | Format | |
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s10237-022-01568-3.pdf | Published version | 3.06 MB | Adobe PDF | View/Open |
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