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ISSN 2753-3239
CCC: 8
PROCEEDINGS OF THE TWELFTH INTERNATIONAL CONFERENCE ON ENGINEERING COMPUTATIONAL TECHNOLOGY
Edited by: P. Iványi, J. Kruis and B.H.V. Topping
Paper 8.1

Effects of Head Morphology on Brain Strains Due to Impacts: A Numerical Approach

K. Gupta1,2, P. Pavan1 and U. Galvanetto1,2

1Department of Industrial Engineering, University of Padova, Padova, Italy
2Center of Studies and Activities for Space (CISAS) “G. Colombo”, University of Padova, Padova, Italy

Full Bibliographic Reference for this paper
K. Gupta, P. Pavan, U. Galvanetto, "Effects of Head Morphology on Brain Strains Due to Impacts: A Numerical Approach", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Twelfth International Conference on Engineering Computational Technology", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 8, Paper 8.1, 2024, doi:10.4203/ccc.8.8.1
Keywords: finite element analysis, computational mechanics, biomechanics, brain morphology, traumatic brain injury, impact analysis.

Abstract
Traumatic Brain Injury is a major public health concern, and recent research has highlighted the significant influence of head morphological variations on injury outcomes, under the same kinematics. Finite element head models are important tools for understanding injury biomechanics, but existing models often lack anatomical detail. This study presents the development of detailed anatomical male and female finite element head models and assesses tissue-level responses (maximum principal strain, and shear strain) under pure translational, rotational, and combined translational-rotational kinematics based on experimental data. Results demonstrate significant differences in peak strain values (max up to 46%) and varying peak strain locations between the two models, highlighting the impact of morphological variations on brain response. These preliminary results suggest a possible relationship between intracranial volume and strain values, emphasizing the importance of considering individual anatomical differences in traumatic brain injury assessment and prevention strategies.

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