Finite‐Difference Reduced Transfer Matrix Method for Multibody Systems With Rotating Beams

ABSTRACT Multibody systems with rotating beams serve as critical simplified models of core components in engineering systems; however, existing analytical and numerical methods have limitations in analyzing their complex dynamic behavior. This paper proposes the Finite‐Difference Reduced Multibody System Transfer Matrix Method (FD‐RMSTMM), which innovatively integrates the Reduced Multibody System Transfer Matrix Method (RMSTMM) with the finite‐difference method. Finite‐difference transfer matrices for planar and spatial vibrating Euler–Bernoulli beams, as well as rotating hub–beam systems, are systematically derived. The proposed approach retains the RMSTMM's advantage of a low matrix order while eliminating the cumulative errors typically associated with matrix multiplication via reduction transformations, thereby enhancing numerical stability and accuracy. The correctness of the proposed method is validated through four sets of numerical examples. Finally, this method can be applied to complex engineering systems, such as wind turbines and satellites, and has the potential to be extended to plates and shells.

Authors

Institutions

Publication Details

Journal
International journal of mechanical system dynamics
Published
2026-10-30
DOI
https://doi.org/10.1002/msd2.70095
Primary Topic
Dynamics and Control of Mechanical Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Finite‐Difference Reduced Transfer Matrix Method for Multibody Systems With Rotating Beams

Hanjing Lu, Xiaoting Rui, Ziyao Ma, Caishan Liu
1 links
International journal of mechanical system dynamics
Dynamics and Control of Mechanical Systems
article

Finite‐Difference Reduced Transfer Matrix Method for Multibody Systems With Rotating Beams

Hanjing Lu, Xiaoting Rui, Ziyao Ma, Caishan Liu
article en

Abstract

ABSTRACT Multibody systems with rotating beams serve as critical simplified models of core components in engineering systems; however, existing analytical and numerical methods have limitations in analyzing their complex dynamic behavior. This paper proposes the Finite‐Difference Reduced Multibody System Transfer Matrix Method (FD‐RMSTMM), which innovatively integrates the Reduced Multibody System Transfer Matrix Method (RMSTMM) with the finite‐difference method. Finite‐difference transfer matrices for planar and spatial vibrating Euler–Bernoulli beams, as well as rotating hub–beam systems, are systematically derived. The proposed approach retains the RMSTMM's advantage of a low matrix order while eliminating the cumulative errors typically associated with matrix multiplication via reduction transformations, thereby enhancing numerical stability and accuracy. The correctness of the proposed method is validated through four sets of numerical examples. Finally, this method can be applied to complex engineering systems, such as wind turbines and satellites, and has the potential to be extended to plates and shells.

International journal of mechanical system dynamics
Peking University (CN), Nanjing University of Science and Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 18%
Dynamics and Control of Mechanical Systems
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.

Laika access coming soon
Finite‐Difference Reduced Transfer Matrix Method for Multibody Systems With Rotating Beams — Hanjing Lu, Xiaoting Rui, et al. · International journal of mechanical system dynamics (2026) | TGRS Research Map | TGRS