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Numerical investigation of driver lower extremity injuries in finite element frontal crash reconstruction

机译:有限元前碰撞重建驾驶员下肢损伤的数值研究

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Objective: Lower extremity injuries are the most frequent Abbreviated Injury Scale (AIS) 2 injury for drivers in frontal crashes. The objective was to reconstruct 11 real-world motor vehicle crashes (2 with AIS 2+ distal lower extremity injury and 9 without lower extremity injury) and to analyze the vehicle parameters and driver attributes that affect injury risk.Methods: Eleven frontal crashes were reconstructed with a finite element simplified vehicle model (SVM) using a semi-automated optimization method. The SVM was tuned to each corresponding vehicle and the Total HUman Model for Safety (THUMS) Ver 4.01 was scaled and positioned in a baseline configuration to mimic the documented precrash driver posture. The event data recorder crash pulse was applied as the boundary condition for each case. Additionally, for the 2 cases with lower extremity injury, 120 simulations to quantify the uncertainty and response variation were performed varying the following parameters using a Latin hypercube design of experiment (DOE): seat track position, seatback angle, steering column angle, steering column position, and D-ring height. Injury metrics implemented within THUMS were calculated from the femur, tibia, and ankle and cross-compared among the 11 baseline cases using tibia index and multiple injury risk functions. Kinetic and kinematic data from the 120-simulation DOE were analyzed and fit to regression models to examine any causal relationship between occupant positioning and lower extremity injury risk.Results: Of the 11 real-world crashes, both cases with lower extremity injuries resulted in elevated tibia axial forces and resultant bending moments, compared to the 9 cases without lower extremity injury. The average tibia index of the 2 cases with distal lower extremity injury (left: 1.79; right: 1.19) was higher than that in the 9 cases without lower extremity injury (left: 1.16, P =.024; right: 0.82, P =.024). An increased risk of AIS 2+ tibia shaft (33.6%), distal tibia and hindfoot (20.0%), as well as ankle malleolar (14.5%) fracture was also observed for the injured compared to the noninjured cases. Rearward seat track position, reclined seat back angle, and reduced seat height were correlated with elevated tibia axial force and increased tibia index, imposing additional lower extremity injury risk.Conclusions: This study provides a computational framework for assessing lower extremity injuries and elucidates the effect of precrash driver posture on lower extremity injury risk while accounting for vehicle parameters and driver attributes. Results from the study aid in the evaluation of real-world injury data, the understanding of factors contributing to injury risk, and the prevention of lower extremity injuries.
机译:目的:下肢损伤是前坠毁司机的最常见的缩写伤害(AIS)2伤害。目标是重建11个现实世界机动车辆崩溃(2,使用AIS 2+远端下肢损伤和9个没有下肢损伤的9个),并分析影响伤害风险的车辆参数和驾驶员属性。方法:重建了十一额崩溃使用半自动优化方法具有有限元简化的车型(SVM)。将SVM调谐到每个相应的车辆,并且在基线配置中缩放并定位了安全性(THUMS)Ver 4.01的总人体模型,以模仿记录的预防驾驶员姿势。将事件数据记录器崩溃脉冲作为每个案例的边界条件应用。此外,对于具有下肢损伤的2例,使用实验(DOE)的拉丁超立方体设计改变以下参数,进行120模拟以量化不确定性和响应变化,可以改变以下参数:座椅轨道位置,座椅靠背角,转向柱角度,转向柱位置和D形高度。从股骨,胫骨和踝关节中计算的损伤指标并在使用胫骨指数和多次伤害风险功能的11个基线案例中交叉。分析了来自120次模拟DOE的动力学和运动学数据,并适合回归模型,以检查乘员定位和下肢损伤的任何因果关系。结果:11个现实世界崩溃,两种患有下肢损伤的病例升高胫骨轴向力​​和所得弯曲的时刻,与9例没有下肢损伤相比。 2例患有远端下肢损伤的2例的平均胫骨指数(左:1.79; 1.19)高于9例没有下肢损伤的9例(左:1.16,P = .024;右:0.82,P = .024)。对于非杀核病例相比,AIS 2+胫骨轴(33.6%),远端胫骨和后脚(20.0%)以及踝关节疱疹(14.5%)骨折的风险增加。向后座椅轨道位置,斜倚座椅靠背角度和降低的座椅高度与胫骨轴向力​​升高,胫骨指数增加,施加额外的下肢损伤风险。结论:本研究提供了评估下肢损伤并阐明效果的计算框架在核算车辆参数和司机属性时,预防驾驶员姿势在下肢损伤风险。研究援助对真实世界伤害数据的评估,了解因伤害风险的因素,以及预防下肢损伤。

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