因卡车队列错误导致的碰撞事故中卡车乘员受伤风险评估

IF 0.7 Q4 TRANSPORTATION SCIENCE & TECHNOLOGY SAE International Journal of Transportation Safety Pub Date : 2020-03-11 DOI:10.4271/09-08-01-0001
Hanxiang Jin, Roshan Sharma, Yunzhu Meng, A. Untăroiu, Zachary R. Doerzaph, C. Dobrovolny, C. Untaroiu
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引用次数: 2

摘要

排兵是协同自适应巡航控制(CACC)的延伸,它在短跟车距离的紧密编队中移动时实现了车辆的自动横向和纵向控制。卡车车队预计将包括至少五辆卡车,第一辆和最后一辆卡车都有司机。本文讨论了单牵引车-厢式拖车撞击混凝土护栏的方法并给出了结果,这是由大学交通中心(UTC)资助和支持的更广泛的卡车排队影响研究的专用方法。首先,使用LS-DYNA®软件模拟了全尺寸碰撞,该软件采用了现有的拖拉机-货车-拖车有限元模型和混凝土桥梁系统的详细模型。影响标准是《安全硬件评估手册》(MASH)标准中针对特定测试水平条件设定的标准。根据中西部路边安全设施(MwRSF)基于车辆行为进行的全尺寸碰撞测试,对牵引车-厢式拖车与混凝土护栏的碰撞模拟进行了校准。系统的校准也基于撞击后的屏障损伤进行了评估,这是通过利用屏障混凝土的侵蚀模型和钢筋构件的塑性应变来实现的。然后,利用之前开发的包含内部结构的卡车驾驶室模型进行模拟,以评估碰撞事件中的乘客风险。然后,根据全碰撞卡车护栏模拟中记录的8个以上节点的位移时间历程来规定卡车驾驶室的运动。根据节点集的位移时间历程验证了简化驾驶室运动相对于全卡车运动的准确性,该节点集包括不同于在规定运动中使用的驾驶室节点的驾驶室。使用代表第50百分位男性的假人和人类乘员模型,评估了因卡车车队错误而发生车祸的卡车乘员的伤害风险。本研究中使用的乘员LS-DYNA模型为HIII假人和THOR假人。乘客模型设置为驾驶员坐姿,并使用特定的安全带约束系统进行约束,该系统包括卷收器、预紧器和Drings。记录了与不同人体区域(如HIC、Nij)相对应的明确损伤标准中包含的运动学和动力学测量,并根据文献中发表的损伤曲线评估了乘员的损伤风险。使用本研究中开发的模型进行的额外模拟有助于了解在实施卡车排队之前是否需要改进路边安全装置和/或修改排队约束。第15届国际LS-DYNA®用户大会乘员建模2018年6月10日至12日2简介排是协作自适应巡航控制(CACC)的延伸,它实现了车辆的自动横向和纵向控制,同时在短跟车距离的紧密编队中移动。卡车车队预计将包括至少五辆卡车,第一辆和最后一辆卡车都有司机。目前尚不清楚部署在战略位置的现有路边安全硬件的容量和充分性是否足以抵御高速多辆卡车车队的潜在影响,这种影响可能是由于卡车车队的失误造成的。目前还不清楚这些撞击卡车在偏离车队路线后如何与路边安全护栏相互作用,以及与此类撞击相关的乘客风险是什么。在这项研究中,开发了一种方法来模拟单牵引车-厢式拖车撞击混凝土护栏。同样的方法将用于检查现有的路边安全装置在多辆卡车高速行驶的潜在碰撞过程中,在近距离的多次碰撞下的表现,这可能是由于卡车车队的失误造成的,并评估卡车乘客的伤害风险。
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Evaluation of the Injury Risks of Truck Occupants Involved in a Crash as a Result of Errant Truck Platoons
Platooning is an extension of Cooperative Adaptive Cruise Control (CACC) that realizes automated lateral and longitudinal vehicle control while moving in tight formation with short following distances. The truck platoons are expected to include at least five trucks with drivers in the first and the last trucks. This paper discusses the methodology and presents results of a single tractor-van trailer impact into a concrete barrier, which is a dedicated approach for a broader truck platooning implication research funded and supported by Safety through Disruption (Safe-D) University Transportation Center (UTC). First, full scale crash impacts were simulated with the LS-DYNA® software employing an existing tractor-van trailer FE model and a detailed model of a concrete bridge system. Impact criteria were those set in the Manual for Assessing Safety Hardware (MASH) standards, for a specific Test Level condition. The impact simulation of the tractor van-trailer against the concrete barrier was calibrated against the full scale crash test conducted by the Midwest Roadside Safety Facility (MwRSF) based on vehicle behavior. Calibration of the system was also assessed based on barrier damage after impact, which was achieved by utilizing erosion model of the barrier concrete, and plastic strains for the reinforcement components. Then, a previously developed truck cabin model, with inclusion of interior structures, was utilized to conduct simulations to assess occupant risks during the impact event. The motion of the truck cabin was then prescribed based on the displacement time histories of more than 8 nodes recorded in full crash truck-barrier simulations. The accuracy of simplified cabin motion relative to the full truck motion was verified against displacement time histories of a node set which include cabin nodes different than those used in prescribed motion. The injury risks of truck occupants involved in a crash as a result of errant truck platoons were evaluated using dummy and human occupant models representing a 50th percentile male. The occupant LS-DYNA models employed in this study were the HIII dummy and THOR dummy. The occupant models were setup in a seated driver posture and restrained using specific seatbelt restraint systems, which included a retractor, a pretensioner and Drings. The kinematic and dynamic measures included in well-defined injury criteria corresponding to various human body regions (e.g. HIC, Nij) were recorded and the occupant risks of injury were assessed based on injury curves published in literature. Additional simulations with the models developed in this study could help to understand if any roadside safety device improvements and/or platooning constraint modifications will be necessary before implementing truck platooning. 15th International LS-DYNA® Users Conference Occupant Modeling June 10-12, 2018 2 Introduction Platooning is an extension of Cooperative Adaptive Cruise Control (CACC) that realizes automated lateral and longitudinal vehicle control while moving in tight formation with short following distances. The truck platoons are expected to include at least five trucks with drivers in the first and the last trucks. It is unknown whether the capacity and adequacy of existing roadside safety hardware deployed at strategic locations is sufficient to resist a potential impact from a fleet of multiple trucks at high speed, which may occur as a result of errant truck platoons. It is also unknown how these impacting trucks might interact with roadside safety barriers after veering off the course of their platoon and what are the occupant risks associated with such impacts. In this study, a methodology was developed to simulate a single tractor-van trailer impact into a concrete barrier. The same methodology will be applied to examine how the existing roadside safety devices will perform under multiple impacts at close proximity during a potential impact from a fleet of multiple trucks at high speed, which may occur as a result of errant truck platoons, and to evaluate the injury risks of truck occupants.
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来源期刊
SAE International Journal of Transportation Safety
SAE International Journal of Transportation Safety TRANSPORTATION SCIENCE & TECHNOLOGY-
CiteScore
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发文量
21
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