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Anelastic reorganisation of fibre-reinforced biological tissues
- Source :
- Computing and Visualization in Science. 20:95-109
- Publication Year :
- 2019
- Publisher :
- Springer Science and Business Media LLC, 2019.
-
Abstract
- In this work, we contribute to the study of the structural reorganisation of biological tissues in response to mechanical stimuli. We specialise our investigation to a class of hydrated soft tissues, whose internal structure features reinforcing fibres. These are oriented statistically within the tissue, and their pattern of orientation is such that, at each material point, the tissue is anisotropic. From its natural, stress-free state, the tissue can be distorted anelastically into a global reference configuration, and then deformed under the action of external mechanical loads. The anelastic distortions are responsible for changing irreversibly the internal structure of the tissue, which, in the present context, occurs through both the rearrangement of the bonds among the tissue cells and the deformation-driven reorientation of the fibres. The anelastic strains, in addition, are assumed to model the onset and evolution of microcracks in the tissue, which may be triggered by the mechanical loads applied to the tissue in the case of traumatic events, or diseases. For our purposes, we formulate an anisotropic model of remodelling and we consider a fully isotropic model of structural reorganisation for comparison, with the aim to study if, how, and to what extent the evolution of anelastic distortions is influenced by the tissue’s anisotropy.
- Subjects :
- Work (thermodynamics)
Materials science
Isotropy
General Engineering
Anelastic distortions
Soft tissue
Context (language use)
Theoretical Computer Science
Fibre-reinforcement
Computational Theory and Mathematics
Modeling and Simulation
Anisotropic media
Computer Vision and Pattern Recognition
Composite material
Anisotropy
Reference configuration
Biological tissues
Software
Subjects
Details
- ISSN :
- 14330369 and 14329360
- Volume :
- 20
- Database :
- OpenAIRE
- Journal :
- Computing and Visualization in Science
- Accession number :
- edsair.doi.dedup.....14cc2b04f03cda8080c7f1333fc10d43
- Full Text :
- https://doi.org/10.1007/s00791-019-00313-1