Literature DB >> 17047281

The mechanical behaviour of brain tissue: large strain response and constitutive modelling.

M Hrapko1, J A W van Dommelen, G W M Peters, J S H M Wismans.   

Abstract

The non-linear mechanical behaviour of porcine brain tissue in large shear deformations is determined. An improved method for rotational shear experiments is used, producing an approximately homogeneous strain field and leading to an enhanced accuracy. Results from oscillatory shear experiments with a strain amplitude of 0.01 and frequencies ranging from 0.04 to 16 Hz are given. The immediate loss of structural integrity, due to large deformations, influencing the mechanical behaviour of brain tissue, at the time scale of loading, is investigated. No significant immediate mechanical damage is observed for these shear deformations up to strains of 0.45. Moreover, the material behaviour during complex loading histories (loading-unloading) is investigated. Stress relaxation experiments for strains up to 0.2 and constant strain rate experiments for shear rates from 0.01 to 1 s(-1) and strains up to 0.15 are presented. A new differential viscoelastic model is used to describe the mechanical response of brain tissue. The model is formulated in terms of a large strain viscoelastic framework and considers non-linear viscous deformations in combination with non-linear elastic behaviour. This constitutive model is readily applicable in three-dimensional head models in order to predict the mechanical response of the intra-cranial contents due to an impact.

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Year:  2006        PMID: 17047281

Source DB:  PubMed          Journal:  Biorheology        ISSN: 0006-355X            Impact factor:   1.875


  25 in total

1.  Magnetic resonance elastography compared with rotational rheometry for in vitro brain tissue viscoelasticity measurement.

Authors:  Jonathan Vappou; Elodie Breton; Philippe Choquet; Christian Goetz; Rémy Willinger; André Constantinesco
Journal:  MAGMA       Date:  2007-12-15       Impact factor: 2.310

2.  New mechanics of traumatic brain injury.

Authors:  Vladimir G Ivancevic
Journal:  Cogn Neurodyn       Date:  2008-11-23       Impact factor: 5.082

3.  Connecting fractional anisotropy from medical images with mechanical anisotropy of a hyperviscoelastic fibre-reinforced constitutive model for brain tissue.

Authors:  Chiara Giordano; Svein Kleiven
Journal:  J R Soc Interface       Date:  2013-11-20       Impact factor: 4.118

4.  Exit ventriculoperitoneal shunt; enter endoscopic third ventriculostomy (ETV): contemporary views on hydrocephalus and their implications on management.

Authors:  P Kamalo
Journal:  Malawi Med J       Date:  2013-09       Impact factor: 0.875

5.  Time-harmonic magnetic resonance elastography of the normal feline brain.

Authors:  A J Pattison; S S Lollis; P R Perriñez; I M Perreard; M D J McGarry; J B Weaver; K D Paulsen
Journal:  J Biomech       Date:  2010-07-23       Impact factor: 2.712

6.  Mechanical properties of porcine brain tissue in vivo and ex vivo estimated by MR elastography.

Authors:  Charlotte A Guertler; Ruth J Okamoto; John L Schmidt; Andrew A Badachhape; Curtis L Johnson; Philip V Bayly
Journal:  J Biomech       Date:  2018-01-31       Impact factor: 2.712

7.  Non-linear viscoelastic behavior of abdominal aortic aneurysm thrombus.

Authors:  Evelyne A van Dam; Susanne D Dams; Gerrit W M Peters; Marcel C M Rutten; Geert Willem H Schurink; Jaap Buth; Frans N van de Vosse
Journal:  Biomech Model Mechanobiol       Date:  2007-05-10

8.  Inelastic behavior in repeated shearing of bovine white matter.

Authors:  Taylor S Cohen; Andrew W Smith; Panagiotis G Massouros; Philip V Bayly; Amy Q Shen; Guy M Genin
Journal:  J Biomech Eng       Date:  2008-08       Impact factor: 2.097

9.  A Coupled Mass Transport and Deformation Theory of Multi-constituent Tumor Growth.

Authors:  Danial Faghihi; Xinzeng Feng; Ernesto A B F Lima; J Tinsley Oden; Thomas E Yankeelov
Journal:  J Mech Phys Solids       Date:  2020-03-14       Impact factor: 5.471

10.  Biomechanics of traumatic brain injury: influences of the morphologic heterogeneities of the cerebral cortex.

Authors:  R J H Cloots; H M T Gervaise; J A W van Dommelen; M G D Geers
Journal:  Ann Biomed Eng       Date:  2008-05-09       Impact factor: 3.934

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