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  4. A comprehensive framework for computational modeling of growth and remodeling in tissue-engineered soft collagenous materials
 
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A comprehensive framework for computational modeling of growth and remodeling in tissue-engineered soft collagenous materials

Citation Link: https://doi.org/10.15480/882.15433
Publikationstyp
Journal Article
Date Issued
2025
Sprache
English
Author(s)
Sesa, Mahmoud  
Holthusen, Hagen  
Böhm, Christian  
Jockenhoevel, Stefan  
Reese, Stefanie  
Linka, Kevin  
Kontinuums- und Werkstoffmechanik M-15  
TORE-DOI
10.15480/882.15433
TORE-URI
https://hdl.handle.net/11420/56512
Journal
Biomechanics and modeling in mechanobiology  
Volume
24
Start Page
1687
End Page
1711
Citation
Biomechanics and Modeling in Mechanobiology 24: 1687–1711 (2025)
Publisher DOI
10.1007/s10237-025-01988-x
Scopus ID
2-s2.0-105011288320
Publisher
Springer
Developing clinically viable tissue-engineered structural cardiovascular implants—such as vascular grafts and heart valves—remains a formidable challenge. Achieving reliable and durable outcomes requires a deeper understanding of the fundamental mechanisms driving tissue evolution during in vitro maturation. Although considerable progress has been made in modeling soft tissue growth and remodeling, studies focused on the early stages of tissue engineering remain limited. Here, we present a general, thermodynamically consistent model to predict tissue evolution and mechanical response throughout the in vitro maturation of passive, load-bearing soft collagenous constructs. The formulation utilizes a stress-driven homeostatic surface to capture volumetric growth, coupled with an energy-based approach to describe collagen densification via the strain energy of the fibers. We further employ a co-rotated intermediate configuration to ensure the model’s consistency and generality. The framework is demonstrated with two numerical examples: a uniaxially constrained tissue strip validated against experimental data and a cruciform-shaped biaxially constrained specimen subjected to load perturbation. These results highlight the potential of the proposed model to advance the design and optimization of tissue-engineered structural cardiovascular implants with clinically relevant performance.
Subjects
Anisotropic growth
Cardiovascular implants
Regenerative medicine
Remodeling
Tissue engineering
DDC Class
660.6: Biotechnology
Lizenz
https://creativecommons.org/licenses/by/4.0/
Publication version
publishedVersion
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