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DYNAMIC MODELING AND ANALYSIS OF VEHICLE SMART STRUCTURES FOR FRONTAL COLLISION IMPROVEMENT

机译:用于前部碰撞改进的车辆智能结构的动力学建模与分析

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摘要

The majority of real world frontal collisions involves partial overlap (offset) collision, in which only one of the two longitudinal members is used for energy absorption. This leads to dangerous intrusions of the passenger compartment. Excessive intrusion is usually generated on the impacted side causing higher contact injury risk on the occupants compared with full frontal collision. The ideal structure needs to have extendable length when the front-end structure is not capable to absorb crash energy without violating deceleration pulse requirements. A smart structure has been proposed to meet this ideal requirement. The proposed front-end structure consists of two hydraulic cylinders integrated with the front-end longitudinal members of standard vehicles. The work carried out in this paper includes developing and analyzing mathematical models of two different cases representing vehicle-to-vehicle and vehicle-to-barrier in full and offset collisions. By numerical crash simulations, this idea has been evaluated and optimized. It is proven form numerical simulations that the smart structures bring significantly lower intrusions and decelerations. In addition, it is shown that the mathematical models are valid, flexible, and can be used in an effective way to give a quick insight of real life crashes.
机译:现实世界中的大多数正面碰撞都涉及部分重叠(偏移)碰撞,其中两个纵向构件中只有一个用于吸收能量。这会导致乘客舱的危险侵入。与完全正面碰撞相比,通常会在受冲击侧产生过多的侵入,从而给乘员带来更高的接触伤害风险。当前端结构不能够吸收碰撞能量而不违反减速脉冲要求时,理想的结构需要具有可扩展的长度。已经提出了一种智能结构来满足该理想要求。提议的前端结构由两个液压缸组成,这些液压缸与标准车辆的前端纵向构件集成在一起。本文所进行的工作包括开发和分析两种不同情况下的数学模型,它们代表了完全碰撞和偏移碰撞中的车辆对车辆和车辆对障碍。通过数值碰撞仿真,已经对该想法进行了评估和优化。数值模拟证明,智能结构可显着降低侵入和减速。此外,还表明数学模型是有效,灵活的,并且可以有效地使用它来快速了解现实中的碰撞。

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