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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Li, Weiqi
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Publications (4/4 displayed)
- 2024Frequency and time dependent viscoelastic characterization of pediatric porcine brain tissue in compressioncitations
- 2021Investigation of the compressive viscoelastic properties of brain tissue under time and frequency dependent loading conditionscitations
- 2020Dynamic mechanical characterization and viscoelastic modeling of bovine brain tissuecitations
- 2019Frequency dependent viscoelastic properties of porcine brain tissuecitations
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article
Frequency and time dependent viscoelastic characterization of pediatric porcine brain tissue in compression
Abstract
Understanding the viscoelastic behaviour of pediatric brain tissue is critical to interpret how external mechanical forces affect head injury in children. However, knowledge of the viscoelastic properties of pediatric brain tissue is limited, and this reduces the biofidelity of developed numeric simulations of the pediatric head in analysis of brain injury. Thus, it is essential to characterize the viscoelastic behaviour of pediatric brain tissue in various loading conditions and to identify constitutive models. In this study, the pediatric porcine brain tissue was investigated in compression to determine the viscoelasticity under small and large strain, respectively. A range of frequencies between 0.1 to 40 Hz was applied to determine frequency-dependent viscoelastic behaviour via dynamic mechanical analysis while brain samples were divided into three strain rate groups of 0.01/s, 1/s and 10/s for compression up to 0.3 strain level and stress relaxation to obtain time-dependent viscoelastic properties. At frequencies above 20 Hz, the storage modulus did not increase, while the loss modulus increased continuously. With strain rate increasing from 0.01 /s to 10 /s, the mean stress at 0.1, 0.2 and 0.3 strain increased to approximate 6.8, 5.6 and 4.4 times, respectively. The brain compressive response was sensitive to strain rate and frequency. The characterization of brain tissue will be valuable for development of head protection systems and prediction of brain injury.