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Abstract
The mechanical characterization of brain tissue has been generally analyzed in the frequency and time domain. It is crucial to understand the mechanics of the brain under realistic, dynamic conditions and convert it to enable mathematical modelling in a time domain. In this study, the compressive viscoelastic properties of brain tissue were investigated under time and frequency domains with the same physical conditions and the theory of viscoelasticity was applied to estimate the prediction of viscoelastic response in the time domain based on frequency-dependent mechanical moduli through Finite Element models. Storage and loss modulus were obtained from white and grey matter, of bovine brains, using dynamic mechanical analysis and time domain material functions were derived based on a Prony series representation. The material models were evaluated using brain testing data from stress relaxation and hysteresis in the time dependent analysis. The Finite Element models were able to represent the trend of viscoelastic characterization of brain tissue under both testing domains. The outcomes of this study contribute to a better understanding of brain tissue mechanical behaviour and demonstrate the feasibility of deriving time-domain viscoelastic parameters from frequency-dependent compressive data for biological tissue, as validated by comparing experimental tests with computational simulations.
Original language | English |
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Pages (from-to) | 3737-3747 |
Number of pages | 11 |
Journal | Annals of Biomedical Engineering |
Volume | 49 |
Issue number | 12 |
DOIs | |
Publication status | Published - 4 Oct 2021 |
Keywords
- Brain tissue
- Finite element
- Loss
- Model
- Modulus
- Storage
- Validation
- Viscoelasticity
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Dive into the research topics of 'Investigation of the compressive viscoelastic properties of brain tissue under time and frequency dependent loading conditions'. Together they form a unique fingerprint.Projects
- 1 Finished
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Equipment for determining the mechanical and rheological properties of materials for repair and replacement of joints and their tissues
Hukins, D.
1/04/04 → 31/03/05
Project: Research