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基于特征参数分析的中国MPDB工况特征波形获取与应用
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Acquisition and Application of Chinese MPDB Test Condition Characteristic Pulse Based on Characteristic Parameter Analysis
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    摘要:

    为了表征汽车碰撞工况下具有代表性的特征波形,明确相应的乘员损伤响应特征,基于正面50%重叠渐近可变形移动壁障(Mobile Progressive Deformable Barrier,MPDB)碰撞工况4种车型的波形数据,提出一种可行的特征波形处理办法. 归纳统计各车型波形的特征参数分布规律,针对样本进行时间和加速度的归一化特征平均处理再进行时间缩放,保持波形形状特征和连续性,获得MPDB工况的特征波形. 根据动量守恒定律,将特征波形等效为双梯形波,以满足台车试验和仿真的应用稳定性需求. 通过MPDB特征波形和等效双梯形波作用下人体模型的仿真应用,对比分析乘员运动响应与损伤,乘员损伤参数结果相差最小可至1%. 结果表明,采用归一化特征平均方法获得的波形时间和强度符合波形样本的特征参数规律,等效双梯形波能够很好地捕捉特征波形作用下的乘员运动损伤响应.

    Abstract:

    To characterize representative characteristic pulse under a collision test condition and clarify corresponding occupant injury response characteristics, a feasible method of characteristic pulse processing based on pulse data from four vehicle types under 50% frontal overlap with the Mobile Progressive Deformable Barrier (MPDB) test condition was proposed. Firstly, the distribution regularity of characteristic parameters of four vehicle types was summarized and analyzed. Samples were then subjected to time normalization and acceleration feature averaging processing, followed by time scaling to maintain pulse shape characteristics and continuity, resulting in the characteristic pulse of the MPDB test condition. Subsequently, based on the principle of momentum conservation, the characteristic pulse was equivalent to a double trapezoidal wave to meet the application stability requirements of sled testing and simulation. Finally, through the simulation of occupant motion response and injury using the MPDB characteristic pulse and equivalent double trapezoidal wave, a minimum difference of 1% in occupant injury parameters was observed. The results indicate that time and intensity obtained by the normalized feature averaging method can conform to the characteristic parameters of the pulse samples, and the equivalent double trapezoidal wave can effectively capture occupant motion injury response under the characteristic pulse.

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于潇 ,杨笑婷 ,费敬 ,黎震 ,王沛丰 ,刘煜 ?.基于特征参数分析的中国MPDB工况特征波形获取与应用[J].湖南大学学报:自然科学版,2024,51(10):37~46

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  • 在线发布日期: 2024-11-01
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