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The effect of brain mass and moment of inertia on relative brain-skull displacement during low-severity impacts

机译:低强度影响下脑质量和惯性矩对相对颅骨位移的影响

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Traumatic brain injury is the leading cause of death in automobile crashes. The sensitivity of human brain injury prediction to small parameter changes is a critical element of both experimental and mathematical work yet to be adequately investigated. This work proposes a new analytical human brain injury model to determine the parameters to which injury prediction is most sensitive. The trajectory sensitivity analysis explicitly indicates that injury prediction is most sensitive to brain mass moment of inertia, followed by brain mass. A number of finite element (FE) simulations were executed with various brain sizes. The maximum relative brain motions decrease with decreased brain size, and they are very close in the FE and analytical models. We conclude that brain mass moment of inertia, primarily, and brain mass, secondarily, should be varied in focused experimental and FE modeling work to ensure that conclusions are not drawn from individual data points at which injury predictions are highly sensitive to small parameter changes.
机译:颅脑外伤是导致车祸死亡的主要原因。人脑损伤预测对小参数变化的敏感性是尚待充分研究的实验和数学工作的关键要素。这项工作提出了一种新的分析型人脑伤害模型,以确定伤害预测最敏感的参数。轨迹敏感性分析明确表明,损伤预测对脑质量惯性矩最敏感,其次是脑质量。使用各种大脑大小执行了许多有限元(FE)模拟。最大相对大脑运动随着大脑尺寸的减小而减小,并且在有限元模型和分析模型中非常接近。我们得出的结论是,在有重点的实验和有限元建模工作中,应首先改变脑质量的惯性矩,然后再改变脑质量,以确保不会从伤害预测对小参数变化高度敏感的单个数据点得出结论。

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