基于骨盆角和腰带位置的汽车乘客潜水风险的预测建模
Yuya Takeuchi1, Yoshihiko Tanaka1, Toshiharu Azuma1
1Department of Mechanical Systems Engineering, Nagoya University, Nagoya, Japan.
Traffic injury prevention
|November 29, 2023
概括
一个新的模型使用腰带位置和骨盆角度预测乘客在正面撞击中潜水的风险. 该工具有助于为各种身体类型和姿势设计更安全的车辆控制系统.
科学领域:
- 生物力学 生物力学
- 职员安全 职员安全 职员安全
- 有限元分析 有限元分析
背景情况:
- 腰带与骨盆的接触对于防止乘客在正面撞击时潜水至关重要.
- 了解人体测量,腰带定位和潜水风险之间的关系对于提高车辆安全至关重要.
研究的目的:
- 开发一个预测模型来预测乘客潜水风险.
- 为了利用人类参数和腰带定位来预测风险.
- 应用有限元 (FE) 分析用于模型开发.
主要方法:
- 使用多种不同的人体模型 (不同的BMI和性别) 在多种坐姿中进行FE分析.
- 确定了关键参数:腰带-ASIS重叠和腰带-骨盆角.
- 后勤回归与初始参数值关联了潜水事件的发生;该模型通过CT测量进行了验证.
主要成果:
- 潜水风险增加了近零的皮带 - 骨盆角和较小的皮带-ASIS重叠.
- 最初的皮带-骨盆角和皮带-ASIS重叠都是潜水的统计学上显著的预测因素.
- 在直立姿势中潜水风险最低,在斜姿势中较高,在躺卧姿势中最高.
结论:
- 一个潜水风险预测模型成功地使用皮带-骨盆角和皮带-ASIS重叠来开发.
- 该模型可以为各种乘客和姿势提供改进的固定系统的设计信息.
- 这些发现强调了在安全套系统设计中考虑乘客姿势和人体测量的重要性.
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