A unified multiscale mechanical model for soft collagenous tissues with regular fiber arrangement
| Autor: | Giuseppe Vairo, Michele Marino, Franco Maceri |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2010 |
| Předmět: |
Materials science
Nanostructure fiber-reinforced materials Periodontal Ligament nanoscale entropic mechanisms Biomedical Engineering Biophysics homogenization Soft collagenous tissues mechanics Models Biological Homogenization (chemistry) Biomechanical Phenomena Tendons collagen molecule elastic modeling collagen related diseases medicine Humans Periodontal fiber Settore ICAR/08 - Scienza delle Costruzioni Orthopedics and Sports Medicine A fibers Aorta Microscale chemistry Rehabilitation Collagen Diseases Soft tissue Elasticity Nanostructures Tendon medicine.anatomical_structure Nonlinear Dynamics Connective Tissue Thermodynamics Collagen Tunica Media Algorithms Biomedical engineering |
| Popis: | In this paper the mechanical response of soft collagenous tissues with regular fiber arrangement (RSCTs) is described by means of a nanoscale model and a two-step micro-macro homogenization technique. The non-linear collagen constitutive behavior is modeled at the nanoscale by a novel approach accounting for entropic mechanisms as well as stretching effects occurring in collagen molecules. Crimped fibers are reduced to equivalent straight ones at the microscale and the constitutive response of RSCTs at the macroscale is formulated by homogenizing a fiber reinforced material. This approach has been applied to different RSCTs (tendon, periodontal ligament and aortic media), resulting effective and accurate as proved by the excellent agreement with available experimental data. The model is based on few parameters, directly related to histological and morphological evidences and whose sensitivity has been widely investigated. Applications to simulation of some physiopathological mechanisms are also proposed, providing confirmation of clinical evidences and quantitative indications helpful for clinical practice. |
| Databáze: | OpenAIRE |
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