Reduced-order modeling of Hamiltonian formulation in flexible multibody dynamics: Theory and simulations

• Novel Hamiltonian formulation for reduced-order modelling • Enhanced computational efficiency in analyzing flexible multibody systems • Validity of accuracy and usefulness using four numerical simulations • Potential application to flexible structures with large deformations and/or rotations 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.

Authors

Institutions

Publication Details

Journal
Applied Mathematical Modelling
Published
2025-03-01
DOI
https://doi.org/10.1016/j.apm.2025.116055
Citations
15
Primary Topic
Dynamics and Control of Mechanical Systems
Type
article
Field-Weighted Citation Impact
18.22
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reduced-order modeling of Hamiltonian formulation in flexible multibody dynamics: Theory and simulations

Kanjuro Makihara, Keisuke Otsuka, Ryo Kuzuno, Shuonan Dong
15 citations
Applied Mathematical Modelling
Dynamics and Control of Mechanical Systems
18.22
article

Reduced-order modeling of Hamiltonian formulation in flexible multibody dynamics: Theory and simulations

Kanjuro Makihara, Keisuke Otsuka, Ryo Kuzuno, Shuonan Dong
article en
15 citations

Abstract

• Novel Hamiltonian formulation for reduced-order modelling • Enhanced computational efficiency in analyzing flexible multibody systems • Validity of accuracy and usefulness using four numerical simulations • Potential application to flexible structures with large deformations and/or rotations 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.

Applied Mathematical ModellingVol. 144
Tohoku University (JP)
Openalex Percentile: Top 1%
Dynamics and Control of Mechanical Systems
18.22
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Reduced-order modeling of Hamiltonian formulation in flexible multibody dynamics: Theory and simulations — Kanjuro Makihara, Keisuke Otsuka, et al. · Applied Mathematical Modelling (2025) | TGRS Research Map | TGRS