跳到主要导航 跳到搜索 跳到主要内容

Brain strain rate response: Addressing computational ambiguity and experimental data for model validation

  • Zhou Zhou*
  • , Xiaogai Li
  • , Yuzhe Liu
  • , Warren N. Hardy
  • , Svein Kleiven
  • *此作品的通讯作者

科研成果: 期刊稿件文章同行评审

摘要

Traumatic brain injury (TBI) is an alarming global public health issue with high morbidity and mortality rates. Although the causal link between external insults and consequent brain injury remains largely elusive, both strain and strain rate are generally recognized as crucial factors for TBI onsets. With respect to the flourishment of strain-based investigation, ambiguity and inconsistency are noted in the scheme for strain rate calculation within the TBI research community. Furthermore, there is no experimental data that can be used to validate the strain rate responses of finite element (FE) models of the human brain. The current work presented a theoretical clarification of two commonly used strain rate computational schemes: the strain rate was either calculated as the time derivative of strain or derived from the rate of deformation tensor. To further substantiate the theoretical disparity, these two schemes were respectively implemented to estimate the strain rate responses from a previous-published cadaveric experiment and an FE head model secondary to a concussive impact. The results clearly showed scheme-dependent responses, both in the experimentally determined principal strain rate and model-derived principal and tract-oriented strain rates. The results highlight that cross-scheme comparison of strain rate responses is inappropriate, and the utilized strain rate computational scheme needs to be reported in future studies. The newly calculated experimental strain rate curves in the supplementary material can be used for strain rate validation of FE head models.

源语言英语
文章编号100073
期刊Brain Multiphysics
4
DOI
出版状态已出版 - 1月 2023

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 3 - 良好健康与福祉
    可持续发展目标 3 良好健康与福祉

指纹

探究 'Brain strain rate response: Addressing computational ambiguity and experimental data for model validation' 的科研主题。它们共同构成独一无二的指纹。

引用此