Niehoff P, Gabler H C
Rowan University, Department of Mechanical Engineering, Glassboro, New Jersey, USA.
Annu Proc Assoc Adv Automot Med. 2006;50:73-89.
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.
本文的目的是研究WinSmash速度变化量估计值的准确性与碰撞模式、车身类型和车辆刚度之间的关系。针对121例2000 - 2003年的国家汽车抽样系统/碰撞数据系统（NASS/CDS）案例，评估了WinSmash速度变化量估计值的准确性，这些案例的速度变化量直接测量值是从案例车辆的事件数据记录器中获取的。结果发现，WinSmash平均低估速度变化量23%。发现在涉及车辆结构完全正面碰撞的事故中，WinSmash最为准确。当使用分类刚度系数时，速度变化量估计值的准确性是车辆类型的强函数。WinSmash对皮卡的速度变化量低估仅3%，但对前轮驱动汽车的速度变化量低估31%。使用特定车辆的刚度系数提高了纵向速度变化量估计的准确性。提高WinSmash准确性的唯一最重要因素是纳入恢复系数。在调整恢复系数后，WinSmash在正面碰撞中平均仅低估速度变化量1%。
