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Design optimization of dynamic flexible multibody Systems using the discrete adjoint variable method

机译:动态柔性多体系统的离散伴随变量设计优化

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The design space of dynamic multibody systems (MBSs), particularly those with flexible components, is considerably large. Consequently, having a means to efficiently explore this space and find the optimum solution within a feasible time-frame is crucial. It is well-known that for problems with several design variables, sensitivity analysis using the adjoint variable method extensively reduces the computational costs. This paper presents the novel extension of the discrete adjoint variable method to the design optimization of dynamic flexible MBSs. The extension involves deriving the adjoint equations directly from the discrete, rather than the continuous, equations of motion. This results in a system of algebraic equations that is computationally less demanding to solve compared to the system of differential algebraic equations produced by the continuous adjoint variable method. To describe the proposed method, it is integrated with a numerical time-stepping algorithm based on geometric variational integrators. The developed technique is then applied to the optimization of MBSs composed of springs, dampers, beams and rigid bodies, considering both geometrical (e.g., positions of joints) and non-geometrical (e.g., mechanical properties of components) design variables. To validate the developed methods and show their applicability, three numerical examples are provided. (C) 2018 Elsevier Ltd. All rights reserved.
机译:动态多体系统(MBS)的设计空间很大,尤其是那些具有柔性组件的系统。因此,至关重要的是,拥有一种在有效的时间范围内有效探索该空间并找到最佳解决方案的方法。众所周知,对于具有多个设计变量的问题,使用伴随变量方法进行灵敏度分析可大大降低计算成本。本文提出了离散伴随变量方法对动态柔性MBS设计优化的新颖扩展。扩展涉及直接从离散的运动方程而不是连续的运动方程推导伴随方程。与通过连续伴随变量法产生的微分代数方程组相比,这导致了一个代数方程组在计算上对求解的要求较低。为了描述该方法,该方法与基于几何变分积分器的数值时间步长算法集成在一起。然后将开发的技术应用于由弹簧,阻尼器,横梁和刚体组成的MBS的优化,同时考虑几何设计变量(例如接头的位置)和非几何设计变量(例如构件的机械性能)。为了验证所开发的方法并显示其适用性,提供了三个数值示例。 (C)2018 Elsevier Ltd.保留所有权利。

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