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开发并实施一种时间和计算效率高的方法,使用有限元建模来重建现实世界中的事故,以改进事故伤害研究调查。

Development and implementation of a time- and computationally-efficient methodology for reconstructing real-world crashes using finite element modeling to improve crash injury research investigations.

机构信息

Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.

Elemance, LLC, Clemmons, North Carolina, USA.

出版信息

Comput Methods Biomech Biomed Engin. 2022 Sep;25(12):1332-1349. doi: 10.1080/10255842.2021.2009469. Epub 2021 Dec 6.

DOI:10.1080/10255842.2021.2009469
PMID:34866520
Abstract

Eleven Crash Injury Research and Engineering Network (CIREN) frontal crashes were reconstructed using a novel, time-efficient methodology involving a simplified vehicle model. Kinematic accuracy was assessed using novel kinematic scores between 0-1 and chest injury was assessed using literature-defined injury metric time histories. The average kinematic score across all simulations was 0.87, indicating good kinematic accuracy. Time histories for chest compression, rib strain, shoulder belt force, and steering column force discerned the most causative components of chest injury in all cases. Abbreviated Injury Scale (AIS) 2+ and AIS 3+ chest injury risk functions using belt force identified chest injury with 81.8% success.

摘要

11 起 Crash Injury Research and Engineering Network (CIREN) 正面碰撞事故使用了一种新颖的、高效的方法进行了重建,该方法涉及简化的车辆模型。采用 0-1 之间的新运动学评分来评估运动学准确性,并使用文献定义的损伤度量时间历程来评估胸部损伤。所有模拟的平均运动学评分为 0.87,表明运动学准确性良好。在所有情况下,胸部压缩、肋骨应变、肩带力和转向柱力的时间历程都辨别出了导致胸部损伤的最主要因素。使用带力的安全带伤害严重度标准(AIS)2+和 AIS 3+胸部损伤风险函数识别出了 81.8%的胸部损伤。

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