首页> 外文会议>2017 23rd IEEE International Conference on Automation andomputing >Estimation of LTR rollover index for a high-sided tractor semitrailer vehicle under extreme crosswind conditions through dynamic simulation
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Estimation of LTR rollover index for a high-sided tractor semitrailer vehicle under extreme crosswind conditions through dynamic simulation

机译:通过动态仿真估算偏风条件下高侧半挂牵引车的LTR翻滚指数

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Lateral load transfer ratio (LTR) is a criterion that is often used for designing ground vehicle rollover warning technologies to indicate the vehicles rollover status. Generally, LTR index depends on road geometry and vehicle characteristics. However, crosswind loads have the potential to influence the roll stability and therefore the safety of road vehicles particularly large commercial units. This study provides improved methodology for the computation of the LTR index for a high-sided tractor semitrailer vehicle under crosswind conditions. For this purpose, since experiments on real vehicles for active safety technology are difficult to carry out, a coupled simulation of transient crosswind aerodynamics and multi-body vehicle dynamics has been proposed. Based on CFD method, a large-eddy simulation (LES) technique was employed to predict the transient crosswind aerodynamic forces. Then, the predicted aerodynamic forces were input into multi-body dynamic simulations of the tractor semi-trailer vehicle that were performed through ADAMS/Car software. Simulation results show that comparing to the traditional LTR index, the LTR under crosswind is more efficient to detect manoeuvre-induced rollovers. This trailer rollover indicator that has been improved by the proposed methodology can provide more reliable information to the warning or control system in the presence of wind conditions.
机译:横向载荷传递比(LTR)是通常用于设计地面车辆侧翻警告技术以指示车辆侧翻状态的标准。通常,LTR指数取决于道路的几何形状和车辆特性。但是,侧风载荷有可能影响侧倾稳定性,进而影响道路车辆的安全性,特别是大型商用车辆。这项研究为侧风条件下的高侧拖拉机半挂车车辆的LTR指数的计算提供了改进的方法。为此,由于难以在用于主动安全技术的真实车辆上进行实验,因此提出了瞬态侧风空气动力学和多体车辆动力学的耦合仿真。基于CFD方法,采用大涡模拟(LES)技术预测瞬态侧风空气动力。然后,通过ADAMS / Car软件将预测的空气动力输入到拖拉机半挂车的多体动力学仿真中。仿真结果表明,与传统的LTR指标相比,侧风下的LTR能够更有效地检测出操纵引起的侧翻。在存在风况的情况下,通过建议的方法进行了改进的此拖车翻车指示器可以为警报或控制系统提供更可靠的信息。

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