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首页> 外文期刊>Structural and multidisciplinary optimization >Robustness optimization of the position of an anti-roll bar link to avoid the toggling of a rear axle stabilizer
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Robustness optimization of the position of an anti-roll bar link to avoid the toggling of a rear axle stabilizer

机译:优化了防倾杆连杆的位置,避免了后桥稳定器的摆动

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摘要

The task is to find a position for the upper and lower attachment points of the pendulum-linked anti-roll bar link (ARB-link) where the toggling tendency of the rear axle stabilizer can be avoided. For this purpose opposite wheel travel analyses are performed with an ADAMS/Car rear axle model with the objective to maximize the number of simulation time steps until toggling occurs. In the first step a nominal optimization is performed. The resulting optimized point shows no toggling, but a Monte Carlo simulation reveals that this point is not robust. Small variations of the locations lead to toggling either in front or rear direction. Hence, robustness optimization is applied to push the distribution of time steps to higher values as far as possible. Two strategies are used and tested to find such a robust solution. First, robustness optimization based on a Kriging model is carried out. Additionally, an ANOVA is applied to identify the most important design variables. As an alternative, a simple "pushing-away" strategy is introduced, and the quality of the corresponding result is compared to the optimum of the Kriging based optimization.
机译:任务是为摆式防倾杆连杆(ARB连杆)的上,下连接点找到一个位置,在该位置可以避免后桥稳定器的摆动趋势。为此,使用ADAMS /汽车后轴模型执行反向车轮行驶分析,目标是最大化模拟时间步长,直到发生切换为止。第一步,执行名义优化。所得的优化点没有显示翻转,但是蒙特卡洛模拟显示该点不可靠。位置的微小变化会导致前后方向的切换。因此,应用鲁棒性优化来将时间步长的分布推到更高的值。找到并使用了两种策略来找到这样一个可靠的解决方案。首先,进行了基于克里格模型的鲁棒性优化。另外,使用方差分析来识别最重要的设计变量。作为替代方案,引入了一种简单的“推开”策略,并将相应结果的质量与基于Kriging的优化的最优值进行比较。

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