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模拟约束性正面碰撞中全身运动学的客观评估。

Objective Evaluation of Whole Body Kinematics in a Simulated, Restrained Frontal Impact.

机构信息

Wake Forest University School of Medicine, Virginia Tech-Wake Forest University Center for Injury Biomechanics, 575 N Patterson Ave, Biotech Place, Suite 120, Winston Salem, NC, 27101, USA.

出版信息

Ann Biomed Eng. 2019 Feb;47(2):512-523. doi: 10.1007/s10439-018-02180-2. Epub 2018 Dec 6.

Abstract

The use of human body models as an additional data point in the evaluation of human-machine interaction requires quantitative validation. In this study a validation of the Global Human Body Models Consortium (GHBMC) average male occupant model (M50-O v. 4.5) in a restrained frontal sled test environment is presented. For vehicle passengers, frontal crash remains the most common mode, and the most common source of fatalities. A total of 55-time history traces of reaction loads and kinematics from the model were evaluated against corresponding PMHS data (n = 5). Further, the model's sensitivity to the belt path was studied by replicating two documented PMHS cases with prominent lateral and medial belt paths respectively. Results were quantitatively evaluated using open source CORA software. A tradeoff was observed; better correlation scores were achieved on gross measures (e.g. reaction loads), whereas better corridor scores were achieved on localized measures (rib deflections), indicating that subject specificity may dominate the comparison at localized anatomical regions. On an overall basis, the CORA scores were 0.68, 0.66 and 0.60 for force, body kinematics and chest wall kinematics. Belt force responses received the highest grouped CORA score of 0.85. Head and sternum kinematics earning a 0.8 and 0.7 score respectively. The model demonstrated high sensitivity to belt path, resulting in a 20-point increase in CORA score when the belt was routed closer to analogous location of data collection. The human model demonstrated overall reasonable biofidelity and sensitivity to countermeasures in frontal crash kinematics.

摘要

人体模型在人机交互评估中作为附加数据点的使用需要进行定量验证。本研究对 Global Human Body Models Consortium (GHBMC) 平均男性乘员模型(M50-O v. 4.5)在约束式正面碰撞滑橇试验环境中的验证进行了介绍。对于车辆乘客,正面碰撞仍然是最常见的模式,也是最常见的死亡原因。共评估了 55 次模型的反应负载和运动学时间历程记录,与相应的 PMHS 数据(n=5)相对比。此外,通过分别复制具有明显外侧和内侧安全带路径的两个记录 PMHS 案例,研究了模型对安全带路径的敏感性。结果使用开源 CORA 软件进行了定量评估。观察到一种权衡;在总度量(例如反应负载)上获得了更好的相关性得分,而在局部度量(肋骨挠度)上获得了更好的通道分数,这表明在局部解剖区域,个体特异性可能主导比较。总体而言,CORA 评分在力、身体运动学和胸壁运动学方面分别为 0.68、0.66 和 0.60。安全带力响应获得了最高的 CORA 分组得分 0.85。头部和胸骨运动学分别获得了 0.8 和 0.7 的分数。该模型对安全带路径具有高度敏感性,当安全带更接近数据收集的类似位置时,CORA 得分提高了 20 分。人体模型在正面碰撞运动学中的生物仿真度和对对策的敏感性总体上是合理的。

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