The accuracy of WinSmash delta-V estimates: the influence of vehicle type, stiffness, and impact mode.

P Niehoff, H C Gabler
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Abstract

The objective of this paper is to investigate the accuracy of WinSmash delta-V estimates as a function of crash mode, vehicle body type, and vehicle stiffness. The accuracy of WinSmash delta-V estimates was evaluated for 121 NASS/CDS 2000-2003 cases for which direct measurements of delta-V had been retrieved from an Event Data Recorder on the case vehicle. WinSmash was found to underestimate delta-V by 23% on average. WinSmash was found to be most accurate in crashes involving full frontal engagement of the vehicle structure. When using categorical stiffness coefficients, the accuracy of delta-V estimates was found to be a strong function of vehicle type. WinSmash underestimated delta-V for pickup trucks by only 3%, but underestimated delta-V for front-wheel drive cars by 31%. The use of vehicle-specific stiffness coefficients improved the accuracy of the longitudinal delta-V estimate. The single most important factor in improving WinSmash accuracy was the inclusion of restitution. After adjusting for restitution, WinSmash underestimated delta-V in frontal crashes by only 1% on average.

WinSmash delta-V估计的准确性:车型、刚度、冲击方式的影响。
本文的目的是研究WinSmash delta-V估计的准确性作为碰撞模式、车身类型和车辆刚度的函数。对2000-2003年间121例NASS/CDS病例进行了WinSmash delta-V估计的准确性评估,这些病例的delta-V直接测量数据来自病例车上的事件数据记录仪。WinSmash被发现平均低估了23%的delta-V。WinSmash被发现在涉及车辆结构正面碰撞的碰撞中最准确。当使用分类刚度系数时,发现delta-V估计的精度是车辆类型的强函数。WinSmash对皮卡的delta-V估计低估了3%,但对前轮驱动汽车的delta-V估计低估了31%。车辆特定刚度系数的使用提高了纵向delta-V估计的准确性。提高WinSmash准确性的一个最重要的因素是包含了赔偿。在调整赔偿后,WinSmash平均只低估了正面碰撞中的delta-V 1%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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