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Snow Micro Penetrometer Applications for Winter Vehicle Mobility

机译:雪微渗透仪在冬季车辆机动性中的应用

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The U.S. Army Cold Regions Research and Engineering Laboratory (CRREL) provides cold regions research and development in support of the U.S. military and the nation. For winter military operations this support includes vehicle mobility modeling over snow. Many factors relate to vehicle performance, fuel efficiency, and operation efficiency, including the vehicle specifications and the land surface conditions. Comprehending snow macromechanical characteristics-such as elastic modulus, stiffness, and strength-is critical in understanding how -effectively a vehicle will travel over snow covered terrain. Vehicle instrumentation data (inertial measurement units and vehicle telemetry) and observations of the snow pack (both satellite and ground-based) are leveraged to improve the modeled index for winter vehicle performance. Currently, the available mobility models are physically-based and consider numerous factors related to cross country mobility such as slope, soil type, terrain strength, land classification, and vegetation. The algorithms related to the impact of snow, however, are driven by snow depth and bulk snow density alone. This research deployed a SnowMicroPenetrometer (SMP) whose capabilities were expanded to measure several types of snow, including virgin snow, vehicle tracked snow, and processed or groomed snow roads. The SMP high-resolution snow structural profiles show the value of the instrument as a tool for mobility studies. Correlation analysis was conducted between the SMP and Rammsonde penetrometer using median values from different snow types at a particular site. The data express a trend that rupture force, penetration force, density, strength, and ram hardness increases when the snow is deformed by the vehicles. Instrument modifications were assessed with recommendations made to further improve SMP performance for use in mobility studies.
机译:美国陆军寒冷地区研究与工程实验室(CRREL)提供寒冷地区的研究和开发,以支持美国军方和整个国家。对于冬季军事行动,此支持包括在雪上进行车辆移动性建模。许多因素与车辆性能,燃油效率和运行效率有关,包括车辆规格和地面状况。理解雪的宏观力学特性(例如弹性模量,刚度和强度)对于理解汽车在积雪覆盖的地形上如何有效行驶至关重要。利用车辆仪表数据(惯性测量单位和车辆遥测)和对积雪的观测(卫星和地面观测)来改善冬季车辆性能的建模指标。当前,可用的流动性模型是基于物理的,并考虑了与越野移动性相关的众多因素,例如坡度,土壤类型,地形强度,土地分类和植被。但是,与雪影响有关的算法仅受雪深和散装雪密度的驱动。这项研究部署了SnowMicro骨密度仪(SMP),其功能扩展到可以测量多种类型的雪,包括原始雪,车辆跟踪的雪以及经过处理或修整的雪道。 SMP高分辨率雪结构剖面显示了该仪器作为流动性研究工具的价值。使用特定地点不同雪类型的中值在SMP和Rammsonde渗透仪之间进行了相关分析。数据表示了一种趋势,当雪被车辆变形时,断裂力,穿透力,密度,强度和柱塞硬度会增加。评估了仪器的改进,并提出了进一步改善SMP性能以用于流动性研究的建议。

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