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Robust Design in Multibody Dynamics – Application to Vehicle Ride-comfort Optimization

机译:多体动力学中的稳健设计–在车辆乘坐舒适性优化中的应用

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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:这项研究致力于多体动力学系统的鲁棒设计,也就是说,它是使用不确定的计算模型进行的多体系统的优化设计。使用产生随机初始条件的随机微分方程的概率方法构造不确定性的概率模型。然后,使用最小二乘法优化成本函数,并使用蒙特卡洛模拟方法作为随机求解器,在不确定性的情况下对多体系统进行鲁棒设计。该应用程序包括一个横穿崎road道路的简单的多体汽车模型,必须设计悬架以优化乘客的舒适度。

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