首页> 外文会议>Vienna International Conference on Mathematical Modelling >Model Order Reduction in Elastic Multibody Systems using the Floating Frame of Reference Formulation
【24h】

Model Order Reduction in Elastic Multibody Systems using the Floating Frame of Reference Formulation

机译:使用浮选框架的弹性多体系的模型顺序减少

获取原文

摘要

System analysis and optimization of technical products are increasingly supported by virtual prototypes. For the modeling of the dynamical behavior of mechanical subsystems, elastic multibody systems are frequently used. In this contribution, an overview of the basic approaches to model elastic multibody systems with the help of the floating frame of reference formulation is given. It is one of the most common approaches in the field of modeling flexible multibody systems. Here, the discretization of the elastic bodies, e.g. with the help of the Finite Element Method, introduces a large number of elastic degrees of freedom and an efficient simulation of the system becomes difficult. A focus in this work is the linear model order reduction of the elastic degrees of freedom, which is a key step for using flexible bodies in elastic multibody systems. Thereby, the simulation of the elastic multibody system becomes possible or more efficient from a computational point of view. Recently a variety of modern reduction techniques, based on Krylov subspaces or based on a singular value decomposition have been developed and applied successfully in engineering applications. The topic of this work is the application of this techniques in elastic multibody systems with its special requirements, such as, e.g., structure preservation. The differences of these reduction methods are introduced and compared.
机译:虚拟原型越来越多地支持技术产品的系统分析和优化。对于机械子系统的动态行为的建模,经常使用弹性多体系。在这一贡献中,给出了利用参考制剂的浮动框架模拟弹性多体系的基本方法的概述。它是柔性多体系统建模领域中最常见的方法之一。这里,弹性体的离散化,例如,在有限元方法的帮助下,引入大量弹性自由度,并且系统的有效模拟变得困难。在这项工作中的焦点是降低弹性自由度的线性模型顺序,这是在弹性多体系中使用柔性体的关键步骤。因此,从计算的观点来看,弹性多体系的模拟变得可能或更有效。最近,基于Krylov子空间或基于奇异值分解的各种现代减少技术已经成功地在工程应用中成功应用。这项工作的主题是在弹性多体系中应用这种技术,其特殊要求,例如,例如,结构保存。引入并比较了这些减少方法的差异。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号