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Methodology to Predict Strain of Bridging Vein Due to Rotation of Head

The brain stem can be damaged by the herniation of the brain tissue, potentially leading to fatality. Mass lesion could lead to fatality due to brain stem herniation, necessitating the prediction of the strain of the bridging veins (BVs). A number of trabecula forming a web-like structure of the sub-arachnoid space (SAS) may allow the assumption that the strain of the BVs correlates with that of the SAS. The objective of this study is to investigate the predictive capability of the strain in both the brain parenchyma (BP) and the SAS using a simplified physical model based on the CIBIC (Convolution of Impulse Response for Brain Injury Criterion) criterion proposed by the authors. A viscoelastic model consisting of a series of two sets of standard linear solids (SLSs) used in the CIBIC criterion (extended version of CIBIC; e:CIBIC) was developed to represent both the BP and the SAS. The Global Human Body Models Consortium (GHBMC) head/brain model was used to obtain the target response of the maximum principal strain (MPS) in the BP and the SAS. Three angular acceleration time histories to be used to optimize model parameters were determined by combining twenty sine waves with the frequency ranging 10-200 Hz. The optimization of the spring and damping coefficients was performed by maximizing the CORA (CORrelation and Analysis) score for the time histories of the MPS in the BP and the SAS obtained from the GHBMC model. The optimized e:CIBIC was further assessed against a total of 256 sets of head rotational acceleration time histories obtained from frontal and side impacts and pedestrian impacts. The assessment was performed for the coefficient of determination of the correlation of the peak MPS with the GHBMC model along with the average value of the CORA score with the strain in both the BP and the SAS. The two assessment metrics were also compared against the original CIBIC criterion for the brain strain to clarify improved prediction. The results of the performance assessment using the two metrics showed that e:CIBIC is capable of simulating the MPS in the BP with an accuracy similar to the original CIBIC. It was also found that the predictive capability of e:CIBIC for the MPS in the SAS is higher than that of the original CIBIC for the MPS in the BP. This study revealed that e:CIBIC with the two sets of the SLS in series is capable of predicting the strain in both the SAS and the BP simultaneously. The results obtained in this study is dependent upon the validity of the head/brain FE model used. The relationship between the strain of the SAS and the probability of BV failure needs to be further investigated.

Language

  • English

Media Info

  • Media Type: Web
  • Features: Figures; References; Tables;
  • Pagination: 13p
  • Monograph Title: 27th International Technical Conference on the Enhanced Safety of Vehicles (ESV): Enhanced and Equitable Vehicle Safety for All: Toward the Next 50 Years

Subject/Index Terms

Filing Info

  • Accession Number: 01892751
  • Record Type: Publication
  • Report/Paper Numbers: 23-0261
  • Files: TRIS, ATRI, USDOT
  • Created Date: Sep 11 2023 11:42AM