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arXiv 2102.03653math.NAcs.NA
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线弹性动力接触问题的一种有效模型降阶方法

An Efficient Model Order Reduction Scheme for Dynamic Contact in Linear Elasticity

Diana Manvelyan, Bernd Simeon, Utz Wever

摘要:

本文提出了一种线弹性动力接触问题的有效模型降阶方法。代替广泛用于机械接触问题的增广拉格朗日方法,我们更喜欢在这里的线性互补规划(LCP)方法作为基本方法。它的优点是导致在更小的对偶问题,是与控制变分原理,原来是有益的模型降阶。由于接触区的形状强烈地依赖于作用的外力,因此必须在每个时间步中求解拉格朗日乘子的LCP。另一方面,将模型降阶方案应用于位移的大型线性系,并通过Arnoldi过程预先计算。在计算工作量方面的减少计划是非常有吸引力的,因为接触约束完全满足,而减少只对位移的作用。作为我们的方法的扩展,我们进一步采取的Craig-Bampton方法的想法,以区分内结点和节点的接触区。本文最后以一个仔细的性能分析作为结尾。

英文摘要:

The paper proposes an approach for the efficient model order reduction of dynamic contact problems in linear elasticity. Instead of the augmented Lagrangian method that is widely used for mechanical contact problems, we prefer here the Linear Complementarity Programming (LCP) method as basic methodology. It has the advantage of resulting in the much smaller dual problem that is associated with the governing variational principle and that turns out to be beneficial for the model order reduction. Since the shape of the contact zone depends strongly on the acting outer forces, the LCP for the Lagrange multipliers has to be solved in each time step. The model order reduction scheme, on the other hand, is applied to the large linear system for the displacements and computed in advance by means of an Arnoldi process. In terms of computational effort the reduction scheme is very appealing because the contact constraints are fully satisfied while the reduction acts only on the displacements. As an extension of our approach, we furthermore take up the idea of the Craig-Bampton method in order to distinguish between interior nodes and the nodes in the contact zone. A careful performance analysis closes the paper.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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