孙蓉, 李琳恺, 顾蕴松, 等. 基于表面分布式压力的车载气动力感知技术[J]. 实验流体力学, doi: 10.11729/syltlx20230008.
引用本文: 孙蓉, 李琳恺, 顾蕴松, 等. 基于表面分布式压力的车载气动力感知技术[J]. 实验流体力学, doi: 10.11729/syltlx20230008.
SUN R, LI L K, GU Y S, et al. Vehicle aerodynamic sensing technology based on surface distributed pressure[J]. Journal of Experiments in Fluid Mechanics, doi: 10.11729/syltlx20230008.
Citation: SUN R, LI L K, GU Y S, et al. Vehicle aerodynamic sensing technology based on surface distributed pressure[J]. Journal of Experiments in Fluid Mechanics, doi: 10.11729/syltlx20230008.

基于表面分布式压力的车载气动力感知技术

Vehicle aerodynamic sensing technology based on surface distributed pressure

  • 摘要: 在大侧风或风切变环境下,高速列车、卡车和轮船等交通工具存在侧翻(倾覆)风险,引发安全事故。针对侧风(横风)或风切变现象,目前主要基于大气宏观环境进行研究、监测和预警,对于交通工具周围随机变化的流动状态及所承受的突变气动载荷往往无法准确感知。本文以厢式卡车为研究对象,提出一种基于表面分布式压力信息的车载气动力实时感知方法,通过测量车身表面分布式压力信息获取特征截面侧倾力矩系数,以此对侧风环境下卡车的侧倾力矩变化趋势进行判断。研究结果表明:车身0.15 L处截面的侧倾力矩系数与模型侧倾力矩系数存在极强的相关性,可作为特征截面对卡车侧倾力矩进行感知并对其变化趋势进行判断;与基于单截面的侧倾力矩感知相比,采用多截面拟合方法的感知结果更为精确,但需在车身上开设更多压力监测孔。

     

    Abstract: In the environment of large crosswind or wind shear, the aircraft, high-speed rail, trucks, ships and other vehicles may rollover, which may cause safety accidents. For the crosswind or wind shear phenomenon, the existing technology mainly studies, monitors and gives early warning from the atmospheric macro environment, and often cannot accurately perceive the random aerodynamic load or sudden flow around the vehicle itself. We take the van truck as the research object, and propose a real-time sensing method of on-board aerodynamic force/moment based on the distributed pressure information on the surface. By measuring the distributed pressure on the body surface, the rolling moment coefficient of the characteristic section is obtained, so as to judge the rolling moment of the truck in the crosswind environment. The wind tunnel test results show that the rolling moment coefficient of the pressure tap section located at 0.15 L of the vehicle body is highly related to the rolling moment coefficient of the whole vehicle model, which can be used as a characteristic section to sense and judge its rolling moment, and we also use multiple section fitting to sense the rolling moment, which is more accurate than single section fitting, but needs to monitor the pressure at more positions of the body surface.

     

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