柔性多体动力学中哈密顿公式的降阶建模:理论与仿真

IF 4.4 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Shuonan Dong, Ryo Kuzuno, Keisuke Otsuka, Kanjuro Makihara
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引用次数: 0

摘要

柔性多体动力学已经发展成为分析机械结构的一种有效方法,其中哈密顿公式的优点引起了人们的注意,例如系统地处理具有变化质量的系统。然而,有限元方法的使用往往会导致大量的变量,从而降低计算效率。需要提出一种有效的方法来减少哈密顿公式中变量(坐标和正则共轭动量)的数量。本文提出了一种基于分量模态综合法的哈密顿公式降阶建模方法。为了构造运动方程,提出了一种新的动量定义。与传统的哈密顿公式相比,不仅广义坐标减少了,动量也减少了。将绝对节点坐标公式与本文提出的公式相结合,适用于分析大变形、大转动的非线性结构。通过4个数值模拟来评价该公式的性能,计算时间分别减少了52.1%、83.6%、93.4%和81.5%。总体而言,所提出的哈密顿公式计算效率高,数值稳定性好,精度高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reduced-order modeling of Hamiltonian formulation in flexible multibody dynamics: Theory and simulations
Flexible multibody dynamics has been developed as an effective method for analyzing mechanical structures, wherein the Hamiltonian formulation draws attention for advantages such as the systematic handling of systems with varying mass. However, the utilization of the finite element method typically results in a large number of variables, which deteriorates computational efficiency. An effective method to reduce the number of variables (coordinates and canonical conjugate momentum) in Hamiltonian formulation needs to be presented. This paper proposes a novel reduced-order modeling of the Hamiltonian formulation based on the component mode synthesis method. A novel definition of momentum is proposed to construct the equation of motion. Compared with conventional Hamiltonian formulations, not only generalized coordinates but also momentum is reduced. By combining the absolute nodal coordinate formulation with the proposed formulation, it is applicable to analyze nonlinear structures with large deformation and rotations. Four numerical simulations were conducted to evaluate the performance of the proposed formulation, and calculation time reductions of 52.1 %, 83.6 %, 93.4 %, and 81.5 % were achieved. Overall, the proposed Hamiltonian formulation exhibits high calculation efficiency, good numerical stability, and high accuracy.
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来源期刊
Applied Mathematical Modelling
Applied Mathematical Modelling 数学-工程:综合
CiteScore
9.80
自引率
8.00%
发文量
508
审稿时长
43 days
期刊介绍: Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged. This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering. Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.
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