2020
DOI: 10.1016/j.jmbbm.2019.103475
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A poro-hyper-viscoelastic rate-dependent constitutive modeling for the analysis of brain tissues

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Cited by 37 publications
(28 citation statements)
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“…Initial models incorporating both porous and viscous responses aimed at fitting a single experimental setup (Cheng and Bilston, 2007) or included important analytical simplifications and were tailored to particular applications related to cerebrospinal fluid circulation (Mehrabian and Abousleiman, 2011;Hasan and Drapaca, 2015;Mehrabian et al, 2015). To our knowledge, the formulation proposed by our group (Comellas et al, 2020) and the model described by Hosseini-Farid et al (2020) are the only approaches to date with the potential of capturing the wide range of characteristics observed in the response of brain tissue under different biomechanical loading scenarios.…”
Section: Introductionmentioning
confidence: 99%
“…Initial models incorporating both porous and viscous responses aimed at fitting a single experimental setup (Cheng and Bilston, 2007) or included important analytical simplifications and were tailored to particular applications related to cerebrospinal fluid circulation (Mehrabian and Abousleiman, 2011;Hasan and Drapaca, 2015;Mehrabian et al, 2015). To our knowledge, the formulation proposed by our group (Comellas et al, 2020) and the model described by Hosseini-Farid et al (2020) are the only approaches to date with the potential of capturing the wide range of characteristics observed in the response of brain tissue under different biomechanical loading scenarios.…”
Section: Introductionmentioning
confidence: 99%
“…In practice, the brain mechanics literature suffers from a lack of experimental data in dynamic configurations, which would be representative of head trauma configurations. Lastly, several modelling refinements could be introduced in potential fine-tuning steps, such as viscoelastic behaviour [5,6], non-Darcy flow [38] or objective derivatives [35], to name a few. A conclusive experimental or computational assessment of multi-phasic effects in TBI is still needed.…”
Section: Discussionmentioning
confidence: 99%
“…to be very soft, heterogeneous, nonlinear and time-dependent (see the review by Budday et al [3]). Based on quasi-static mechanical loadings, recent laboratory studies show that the fluid-solid coupling in brain tissue may be partly responsible for time-dependent effects [4][5][6][7]. Consequently, biphasic theory is receiving increasing attention in brain mechanics, where it has also been used for the modelling of drug delivery and surgical procedures [8,9].…”
Section: Introductionmentioning
confidence: 99%
“…As we age, the brain acquires more stiffness, but preserves its ability to distribute the tensions that run through its solid-fluid structure [26]. The solid part is able to resist the force of fluids, increasing the hydrostatic pressure, in a hydromechanical continuum in constant motion and deformation [28]. The mechanical deformation forces that the nervous tissue undergoes from the passage of fluids and from the constant cranio-caudal and lateral-medial movement secondarily arising from the action of the heart and respiratory diaphragm are damped, precisely due to the intrinsic characteristic of the brain.…”
Section: Mechanical Properties Of the Brainmentioning
confidence: 99%