在行人碰撞重建中固有的不确定性:证据变化如何影响头部动力学和伤害预测
C E Baker1, P Martin2, A Montemeglio1
1HEAD Lab, Dyson School of Design Engineering, Imperial College London, London, SW7 2AZ, United Kingdom.
Accident; analysis and prevention
|September 12, 2024
概括
现实世界碰撞数据的不确定性影响行人头部伤害风险分析. 我们的研究表明,最初的头部车辆冲击比头部地面冲击更容易预测,有助于伤害预防设计.
科学领域:
- 生物力学 生物力学
- 交通安全 交通安全
- 伤害预防 预防伤害
背景情况:
- 现实世界的碰撞数据重建对于理解受伤生物力学和值至关重要.
- 现实世界数据参数 (速度,姿势,人体测量) 中固有的不确定性通常未被探索.
- 一种"最适合"的方法忽视了参数不确定性对损伤风险评估的影响.
研究的目的:
- 探索不确定的参数对头部损伤风险指标的现实数据中的影响.
- 在重建的行人车碰撞中分析头部动力学指标,输入参数不确定.
- 评估不确定性对最初的头部车辆和后来的头部与地面撞击阶段的影响.
主要方法:
- 从英国道路交通事故深度研究 (RAIDS) 数据库中重建了六起行人车碰撞事件.
- 输入参数在不确定的范围内的变化,以产生一系列头部动力学指标.
- 利用多体和有限元建模 (Madymo) 来分析撞击阶段和伤害预测.
主要成果:
- 不同的输入参数产生了一系列的头部运动输出.
- 输入数据的不确定性对头-车辆与头-地面撞击阶段有不同的影响.
- 头部与车辆的撞击动力学 (第一个400毫米) 显示了更窄的分布,并准确地预测了伤害 (体外血瘤,头骨骨折).
结论:
- 输入数据的不确定性在行人车碰撞重建中显著影响头部动力学.
- 最初的头部与车辆撞击阶段比后面的头部与地面撞击阶段更容易预测.
- 更好地了解参数不确定性可以提高伤害机制分析和伤害预防措施的设计.
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