标题： 女性和男女混合的骨盆前部在正面安全带负荷条件下的损伤风险函数 显示英文标题

标题： Female and Combined Male-Female Injury Risk Functions for the Anterior Pelvis Under Frontal Lap Belt Loading Conditions

摘要： 目的：由于安全带负荷导致的髂骨翼骨折在实验室环境中已经观察了50年，最近的数据表明它们也在现场发生。 自动化驾驶系统（ADS）和其他乘客舱进步预计会提供更大的座位方向灵活性，这可能会增加对安全带的依赖以约束乘客。 这些变化可能会增加安全带负荷，并在成功约束乘客和减轻骨盆等部位伤害方面带来新的挑战。 存在针对由前向安全带负荷引起的男性髂骨翼骨折的损伤标准，但没有针对女性的标准。 方法：本研究探讨了在与之前研究相同的负荷环境下女性髂骨翼骨折的耐受性，该研究探讨了孤立男性髂骨翼的骨折耐受性。 将男性和女性的骨折数据结合，以评估性别的影响。 通过将Weibull生存模型拟合到整合了截尾和确切失效观测数据来创建损伤风险函数。 结果：测试了20个女性髂骨翼；其中14个在已知失效力下发生了骨折（确切），但其余6个翼要么（1）没有骨折，要么（2）在改变边界条件的事件后骨折（右截尾）。 测试样本的骨折耐受性范围很广（1134 - 8759 N），平均为4240 N（标准差2516 N）。 结论：分析了女性数据和结合的男女数据。 年龄是本研究中唯一具有统计学显著影响并提高了模型预测性能的协变量。 显示英文摘要

摘要： Purpose: Iliac wing fractures due to lap belt loading have been observed in laboratory settings for 50 years and recent data suggest they are also occurring in the field. Automated driving systems (ADS) and other occupant compartment advancements are expected to offer enhanced flexibility in seating orientation, which could place a greater reliance on the seatbelt to restrain occupants. Such changes may increase seatbelt loads and create new challenges in successfully restraining occupants and mitigating injury to areas such as the pelvis. Injury criteria exist for component-level male iliac wing fractures resulting from frontal lap belt loading, but not for females. Methods: This study explored female iliac wing fracture tolerance in the same loading environment as a previous study that explored the fracture tolerance of isolated male iliac wings. Male and female fracture data were combined to evaluate the effect of sex. Injury risk functions were created by fitting Weibull survival models to data that integrated censored and exact failure observations. Results: Twenty female iliac wings were tested; fourteen of them sustained fracture with known failure forces (exact), but the remaining six wings either (1) did not fracture, or (2) fractured after an event that changed the boundary conditions (right censored). The fracture tolerance of the tested specimens ranged widely (1134 - 8759 N) and averaged 4240 N (SD 2516 N). Conclusion: Female data and combined male-female data were analyzed. Age was the only covariate investigated in this study that had a statistically significant effect and improved the predictive performance of the models.