共查询到20条相似文献,搜索用时 812 毫秒
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运用有限元和多体动力学方法,对车辆前、后悬架和车架进行了柔性化处理,分别建立某越野车的刚体、刚柔耦合模型以及仿真路面,进行了整车平顺性仿真和实车道路试验。结果表明,在脉冲路面,刚柔耦合模型中悬架、车架柔性体的变形会导致振动加速度曲线两波峰间的波动变化减小,而刚体模型衰减幅度较大;在C级随机路面,刚柔耦合模型的加权加速度均方根值大于刚体模型数值,更接近道路试验值。 相似文献
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商用车较大的车架柔性会影响到整车的操纵稳定性和乘坐舒适性,尤其是在共振时车架柔性会放大对车辆运动品质的影响。为实时模拟牵引车-半挂车的车架运动,采用基于总成特性的建模技术路线,根据运动响应频域将车架运动解耦为低频刚体运动和高频柔体运动,并将车架模型模块化划分为基于多体动力学的刚体车架模块、基于模态综合法的柔体车架模块,然后将两模块求解结果叠加形成刚柔组合车架模型。最后,将车架模型嵌入牵引车89DOF-半挂车73DOF整车模型中,针对某款商用车进行仿真,通过对比实车场地试验结果,验证了模型的有效性。 相似文献
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刚柔耦合多体车辆操纵稳定性研究 总被引:9,自引:3,他引:9
利用多体动力学方法建立了基于ADAMS软件平台的整车刚柔耦合多体系统操纵动力学仿真分析模型。并分别对多刚体模型和刚柔耦合多体模型进行了“转向盘脉冲输入”、“ISO移线”仿真,分析了构件的柔性对汽车操纵稳定性的评价指标值的影响。 相似文献
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某货车驾驶室疲劳载荷激励输入位置位于驾驶室与悬置连接处,在进行整车强化道路耐久试验时无法安装设备直接采集。为获取较为准确的驾驶室疲劳寿命分析载荷谱,对强化耐久路面下整车加速度响应信号进行虚拟迭代。虚拟迭代时需调用整车多体动力学模型,为提高整车模型精度,基于Craig-Bampton综合模态理论生成柔性体车架,建立刚柔耦合的整车多体动力学模型。将Femfat-lab与ADAMS/Car进行联合仿真计算,以白噪声为初始输入,求解刚柔耦合整车多体动力学模型的非线性传递函数,基于循环迭代原理,进行各种典型强化路况下驾驶室悬置附近加速度响应信号的虚拟迭代。利用时域信号对比法及损伤阈值法作为迭代收敛判据,获得满足精度需求的位移驱动信号。将位移驱动信号导入到ADAMS/Car中,对整车多体动力学模型进行驱动仿真,提取驾驶室疲劳分析所需激励载荷谱,将虚拟迭代求得的载荷谱用于疲劳寿命分析所得结果与驾驶室疲劳强化台架试验结果进行对比。研究结果表明:出现疲劳破坏的部位相同度达75%,疲劳寿命误差在20%左右,表明虚拟迭代过程中基于柔性体车架建立的刚柔耦合多体动力学模型的仿真计算,可获得较高精度的迭代结果;以位移谱驱动整车多体动力学模型进行仿真能够有效避免六分力直接驱动时模型翻转等不稳定现象,并且整车模型仿真加速度响应结果与实测相应位置加速度响应吻合度较高;相比于传统的疲劳分析载荷获取方法,虚拟迭代技术可以在较低试验成本的情况下获取较高精度的载荷谱,并能够提取由于连接位置导致的无法直接进行载荷测量部位的疲劳分析载荷。 相似文献
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基于ADAMS软件,建立了某全浮式驾驶室重型卡车的整车非线性多体动力学系统模型,模型考虑了驾驶室悬置、前后悬架、转向系统、动力总成、稳定杆及附件的详细几何结构参数,以及连接处的橡胶衬套、弹簧及阻尼器的非线性特性,轮胎采用Magic Formula模型。最后利用所设计的系统对该车进行了平顺性仿真,结果表明驾驶室悬置系统能够有效地改善整车平顺性。 相似文献
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基于ADAMS软件,建立了某全浮式驾驶室重型卡车的整车非线性多体动力学系统模型,模型考虑了驾驶室悬置、前后悬架、转向系统、动力总成、稳定杆及附件的详细几何结构参数,以及连接处的橡胶衬套、弹簧及阻尼器的非线性特性,轮胎采用Magic Formula模型。最后利用所设计的系统对该车进行了平顺性仿真,结果表明驾驶室悬置系统能够有效地改善整车平顺性。 相似文献
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《Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility》2012,50(10):1271-1286
In magnetically levitated (Maglev) transportation systems, especially in electromagnetic suspension system (EMS) type Maglev systems, highly accurate prediction of ride quality is very important in order to reasonably relax guideway construction tolerances or constraints and stiffness while meeting the specification for ride comfort, thereby reducing guideway construction and maintenance costs. A full vehicle multi-body dynamic model is proposed, to facilitate a rigorous ride quality prediction of an EMS-type Maglev vehicle. Using the more realistic dynamic model proposed in this paper, the effects of guideway deflection limits, surface roughness, and levitation control system parameters on ride quality are studied numerically. The results obtained from the simulation studies are then used to facilitate a discussion of the trade-off between guideway smoothness and vehicle suspension. It can be expected that these studies could suggest cost-effective specifications for guideway construction tolerances and stiffness and EMS. 相似文献
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Mohamed M. ELMADANY 《Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility》1988,17(4):193-210
Stochastic optimal control and estimation theories are used to design an active suspension system for a cab ride in a tractor-semitrailer vehicle. A discrete-continuous vehicle model with eleven degrees of freedom is augmented by a stochastic road excitation model and a human perception of vibration shape filter. Both perfect measurement and estimated state cases are considered. The impact of the measurement noise on the design of the optimal controller is demonstrated. The performance of the optimally controlled system is compared with an optimal passive system. It is shown that significant improvements in ride comfort can be achieved through the use of actively controlled cab suspensions. 相似文献
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Leilei Zhao Yuewei Yu Fuxing Yang 《Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility》2016,54(5):667-688
For the complex structure and vibration characteristics of coupling driver-seat-cab system of trucks, there is no damping optimisation theory for its suspensions at present, which seriously restricts the improvement of vehicle ride comfort. Thus, in this paper, the seat suspension was regarded as ‘the fifth suspension’ of cab, the ‘Five-suspensions’ for this system was proposed. Based on this, using the mechanism modelling method, a 4 degree-of-freedom coupling driver-seat-cab system model was presented; then, by the tested cab suspensions excitation and seat acceleration response, its parameters identification mathematical model was established. Based on this, taking optimal ride comfort as target, its damping collaborative optimisation mathematical model was built. Combining the tested signals and a simulation model with the mathematical models of parameters identification and damping collaborative optimisation, a complete flow of hybrid modelling and damping collaborative optimisation of Five-suspensions was presented. With a practical example of seat and cab system, the damping parameters were optimised and validated by simulation and bench test. The results show that the model and method proposed are correct and reliable, providing a valuable reference for the design of seat suspension and cab suspensions. 相似文献
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