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Robust design in multibody dynamics - application to vehicle ride-comfort optimization

机译:多体动力学的鲁棒设计 - 用于车辆乘车舒适优化的应用

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This research is devoted to the robust design of multibody dynamical systems, that is to say to the optimal design of a multibody system which is carried out using an uncertain computational model. The probabilistic model of uncertainties is constructed using a probabilistic approach yielding a stochastic differential equation with random initial conditions. Then the robust design of the multibody system, in presence of uncertainties, is performed using the least-square method for optimizing the cost function, and the Monte Carlo simulation method as stochastic solver. The application consists in a simple multibody model of an automotive vehicle crossing a rough road and for which the suspensions have to be designed in order to optimize the comfort of the passengers.
机译:该研究致力于多体动力系统的鲁棒设计,即关于使用不确定的计算模型执行的多体系的最佳设计。使用具有随机初始条件的随机微分方程的概率方法构建不确定因素的概率模型。然后,在存在不确定性的情况下,使用最小二乘法进行多级系统的鲁棒设计,以优化成本函数,以及作为随机求解器的蒙特卡罗模拟方法。该应用程序包括一个简单的汽车车辆的多体模型,穿过粗糙的道路,并且必须设计悬架,以便优化乘客的舒适性。

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