On the potential importance of non-linear viscoelastic material modelling for numerical prediction of brain tissue response : test and application

D.W.A. Brands, P.H.M. Bovendeerd, J.S.H.M. Wismans

Research output: Contribution to journalArticleAcademicpeer-review

1 Downloads (Pure)

Abstract

In current Finite Element (FE) head models, brain tissue is commonly assumed to display linear viscoelastic material behaviour. However, brain tissue behaves like a non-linear viscoelastic solid for shear strains above 1%. The main objective of this study was to study the effect of non-linear material behaviour on the predicted brain response. We used a nonlinear viscoelastic constitutive model, developed on the basis of experimental shear data presented elsewere. First we tested the numerical implementation of the constitutive model by simulating the response of a silicone gel (Sylgard 572 A&B) filled cylindrical cup, subjected to a transient rotational acceleration. The experimental results could be reproduced within 9%. Subsequently, the effect of non-linear material modelling on computed brain response was investigated in an existing threedimensional head model subjected to an eccentric rotation. At the applied external load strains in the brain were approximately ten times larger than was expected on the basis of published data. This is probably caused by the values of the shear moduli applied in the model. These are at least a factor of ten lower than the ones used in head models in literature but comparable to material data in recent literature. Non-linear material behaviour was found to influence the levels of predicted strains (+20%) and stresses (-11%) but not their temporal and spatial distribution. The pressure response was independent of non-linear material behaviour. In fact it could be predicted by the equilibrium of momentum, and thus it is independent of the choice of the brain constitutive model.
Original languageEnglish
Pages (from-to)103-121
Number of pages19
JournalStapp Car Crash Journal
Volume46
Issue number1
Publication statusPublished - 2002

Fingerprint Dive into the research topics of 'On the potential importance of non-linear viscoelastic material modelling for numerical prediction of brain tissue response : test and application'. Together they form a unique fingerprint.

Cite this