Mechanical characterization of anisotropic planar biological soft tissues using finite indentation: experimental feasibility
| Autor: | Maj Martijn Cox, Njb Niels Driessen, Cvc Carlijn Bouten, RA Ralf Boerboom, Fpt Frank Baaijens |
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| Přispěvatelé: | Soft Tissue Biomech. & Tissue Eng. |
| Rok vydání: | 2007 |
| Předmět: |
Digital image correlation
Materials science Biomedical Engineering Biophysics In Vitro Techniques Models Biological Hardness Indentation Ultimate tensile strength Humans Orthopedics and Sports Medicine Computer Simulation Hardness Tests Anisotropy Rehabilitation Linear elasticity Heart Elasticity Characterization (materials science) Nonlinear system Connective Tissue Finite strain theory Feasibility Studies Stress Mechanical Biomedical engineering |
| Zdroj: | Journal of Biomechanics, 41(2), 422-429. Elsevier |
| ISSN: | 0021-9290 |
| Popis: | Heart valve tissue engineering offers a promising alternative for current treatment and replacement strategies, e.g., synthetic or bioprosthetic heart valves. In vitro mechanical conditioning is an important tool for engineering strong, implantable heart valves. Detailed knowledge of the mechanical properties of the native tissue as well as the developing tissue construct is vital for a better understanding and control of the remodeling processes induced by mechanical conditioning. The nonlinear, anisotropic and inhomogeneous mechanical behavior of heart valve tissue necessitates a mechanical characterization method that is capable of dealing with these complexities. In a recent computational study we showed that one single indentation test, combining force and deformation gradient data, provides sufficient information for local characterization of nonlinear soft anisotropic tissue properties. In the current study this approach is validated in two steps. First, indentation tests with varying indenter sizes are performed on linear elastic PDMS rubbers and compared to tensile tests on the same specimen. For the second step, tissue constructs are engineered using uniaxial or equibiaxial static constrained culture conditions. Digital image correlation (DIC) is used to quantify the anisotropy in the tissue constructs. For both validation steps, material parameters are estimated by inverse fitting of a computational model to the experimental results. |
| Databáze: | OpenAIRE |
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