Computation of Brain Deformations Due to Violent Impact: Quantitative Analysis of the Importance of the Choice of Boundary Conditions and Brain Tissue Constitutive Model

  • Fang WangEmail author
  • Zhengyang Geng
  • Sudip Agrawal
  • Yong Han
  • Karol Miller
  • Adam Wittek
Conference paper


The objective of this study is to quantify the effects of approach for modelling the brain-skull interface and constitutive model of the brain parenchyma on predicting the brain deformations using a previously validated finite element head-brain model (Total HUman Model for Safety, THUMS, was used). Four approaches for modelling of the brain-skull interface and two constitutive models (linear viscoelastic and Odgen hyperviscoelastic) of the brain tissue were employed in computer simulations of the experiments reported in the literature. Comparison of the predicted and experimentally determined magnitude and shape of trajectories of selected points within the brain as well as the maximum principal and shear strain within the brain was conducted. The comparison indicates that the predicted brain responses were strongly affected by both analysed factors. The results suggest that accurate prediction of brain deformations due to violent impact requires a model of the brain-skull interface that allows for movement between the brain outer surface and skull, while preventing complete separation between the brain and skull, and constitutive model that accounts for non-linear stress-strain relationship of the brain tissues.


Brain-skull interface Computational modelling Constitutive model Brain deformation Finite element analysis 



This work is financially supported by Xiamen University of Technology (Grant No. YKJ15006R) and Fujian Administration of Foreign (Overseas) Experts Affairs (Grant No. 2015-79). Sudip Agrawal was supported by Australian Postgraduate Award programme and The University of Western Australia Safety-Net Top-Up Scholarship. All simulations using Toyota Total HUman Model for Safety THUMS Version 4.0 in this study were conducted at Xiamen University of Technology.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Fang Wang
    • 1
    Email author
  • Zhengyang Geng
    • 1
  • Sudip Agrawal
    • 2
  • Yong Han
    • 1
  • Karol Miller
    • 2
    • 3
  • Adam Wittek
    • 2
  1. 1.School of Mechanical and Automotive EngineeringXiamen University of TechnologyXiamenChina
  2. 2.Intelligent Systems for Medicine Laboratory, School of Mechanical and Chemical EngineeringThe University of Western AustraliaPerthAustralia
  3. 3.Institute of Mechanics and Advanced MaterialsCardiff UniversityCardiffUK

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