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Tyre / soil interaction modelling within a virtual proving ground environment

机译:在虚拟试验场环境中进行轮胎/土壤相互作用建模

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摘要

Off-road mobility defines the ability of land-based vehicles to accelerate, pullloads and climb gradients. Historically, much of the work completed to relatemobility to vehicle and terrain characteristics has been empirical in nature, andhas therefore been susceptible to errors caused by the inherent variability ofnaturally occurring soils. This thesis addresses the off-road mobility of wheeledvehicles, and in particular the use of a finite element (FE) based approach topredict performance metrics such as rolling resistance, drawbar pull and tractiveefficiency. Tools to predict these measures of performance have a wide rangeof applications, including military, agricultural and leisure vehicles, aircraftoperating from temporary airfields and planetary landing craft.The current study extends the virtual proving ground (VPG) concept, where asingle vehicle model can be subjected to a series of virtual test conditions, toinclude the assessment of off-road mobility. Throughout, modelling has beencarried out using LS-DYNA, a commercially available non-linear dynamicanalysis code. Unlike previous studies using FE techniques to investigatewheel / soil interaction, an Eulerian representation of the soil has beenemployed, which permits a consistent approach to be applied to both purelycohesive and purely frictional soils, as well as those displaying a combination ofcohesive and frictional behaviour. At each stage of the research, the validity ofthe FE-based modelling approach has been assessed using data fromcontrolled experimental testing at Cranfield University’s off-road dynamicsfacility.A key finding of the work completed is that rate sensitivity in moisture containingsoils can significantly affect the accuracy of (empirical, analytical and numerical)model predictions, even at low translational speeds (less than 0.1m/s). Thisfinding highights the adverse impact of simplifications in many previousexperimental and modelling studies, which have assumed that rate effects maybe ignored providing the translational speed of the vehicle is low.
机译:越野机动性定义了陆上车辆加速,牵引载荷和爬坡的能力。从历史上看,完成的许多与机动性和车辆和地形特征相关的工作本质上是经验性的,因此容易受到自然土壤固有变异性引起的误差的影响。本文研究了轮式车辆的越野机动性,特别是基于有限元(FE)的方法来预测性能指标,例如滚动阻力,牵引杆牵引力和牵引效率。预测这些性能指标的工具具有广泛的应用,包括军用,农用和休闲车辆,从临时机场操作的飞机和行星降落飞机。当前的研究扩展了虚拟试验场(VPG)的概念,其中可以使用单个车辆模型一系列虚拟测试条件,包括越野机动性评估。整个过程中,使用LS-DYNA(一种可商购的非线性动力学分析代码)进行了建模。与以前使用有限元技术研究车轮/土壤相互作用的研究不同,已采用土壤的欧拉表示法,这允许将一致的方法应用于纯黏性和纯摩擦性土壤以及表现出黏性和摩擦性组合的土壤。在研究的每个阶段,都使用了克兰菲尔德大学越野动力设施的受控实验测试数据评估了基于有限元建模方法的有效性。完成工作的一个关键发现是,含水率土壤中的速率敏感性会显着影响精度模型(经验,分析和数值)预测,即使在低平移速度(小于0.1m / s)下也是如此。在许多先前的实验和模型研究中,这简化了简化方法的不利影响,这些研究假设只要车辆的平移速度较低,就可以忽略速率影响。

著录项

  • 作者

    Wright A.;

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  • 年度 2012
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  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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