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http://hdl.handle.net/1942/34360| Title: | Upscaling between an Agent-Based Model (Smoothed Particle Approach) and a Continuum-Based Model for Skin Contractions | Authors: | PENG, Qiyao VERMOLEN, Fred |
Issue Date: | 2022 | Publisher: | SPRINGER HEIDELBERG | Abstract: | Skin contraction is an important biophysical process that takes place during and after recovery of deep tissue injury. This process is mainly caused by fibroblasts (skin cells) and myofibroblasts (differentiated fibroblasts) that exert pulling forces on the surrounding extracellular matrix (ECM). Modelling is done in multiple scales: agent-based modelling on the microscale and continuum-based modelling on the macroscale. In this manuscript we present some results from our study of the connection between these scales. For the one-dimensional case, we managed to rigorously establish the link between the two modelling approaches for both closed-form solutions and finite-element approximations. For the multi-dimensional case, we computationally evidence the connection between the agent-based and continuum-based modelling approaches. | Keywords: | traction forces;mechanics;smoothed particle approach;agent-based modelling;finite element methods;continuum-based modelling | Document URI: | http://hdl.handle.net/1942/34360 | Link to publication/dataset: | http://arxiv.org/abs/2105.09110v1 | ISSN: | 0303-6812 | e-ISSN: | 1432-1416 | DOI: | 10.1007/s00285-022-01770-y | ISI #: | 000849466800001 | 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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| File | Description | Size | Format | |
|---|---|---|---|---|
| s00285-022-01770-y.pdf | Published version | 3.64 MB | Adobe PDF | View/Open |
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