A Novel Algorithm for Coupled Vibration Characteristics of Cyclically Symmetric Structures

When rotating machinery operates at high speeds, the interaction between the rotor and blades becomes highly pronounced, necessitating treatment of the rotor-blade system as an integrated entity when examining its vibration characteristics. However, the coupled system's large number of degrees of freedom poses significant challenges. One of the most prominent issues with traditional finite element methods is the extremely high order of the coefficient matrix, which leads to substantial computational demand. Recognizing the cyclic symmetry intrinsic to rotating machinery, this study introduces a novel algorithm intended for efficient analysis of the coupled vibration characteristics of cyclically symmetric structures. Grounded in modal superposition and cyclic symmetry theory, the algorithm partitions the rotor and blades into multiple substructures. First, the internal degrees of freedom in these substructures are condensed, and then cyclic interface displacement compatibility is applied to couple the rotor and blades into a unified system. This process significantly decreases both the total degrees of freedom in the coupled system and the order of the coefficient matrix. To validate the approach, the proposed algorithm was implemented in Matlab for a specific test case. The results indicate that the computed vibration frequencies deviate by no more than five percent from those obtained through conventional software. Additionally, the coupled mode shapes align closely with those reported in the literature, and the required computation time is only 45 percent of the original duration. These findings highlight the practicality and feasibility of the proposed algorithm for analyzing cyclically symmetric structures.

Authors

Institutions

Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1109/icaace65325.2025.11019843
Primary Topic
Composite Structure Analysis and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Novel Algorithm for Coupled Vibration Characteristics of Cyclically Symmetric Structures

Jingxian Liu, Chao Liu
Composite Structure Analysis and Optimization
article

A Novel Algorithm for Coupled Vibration Characteristics of Cyclically Symmetric Structures

Jingxian Liu, Chao Liu
article en

Abstract

When rotating machinery operates at high speeds, the interaction between the rotor and blades becomes highly pronounced, necessitating treatment of the rotor-blade system as an integrated entity when examining its vibration characteristics. However, the coupled system's large number of degrees of freedom poses significant challenges. One of the most prominent issues with traditional finite element methods is the extremely high order of the coefficient matrix, which leads to substantial computational demand. Recognizing the cyclic symmetry intrinsic to rotating machinery, this study introduces a novel algorithm intended for efficient analysis of the coupled vibration characteristics of cyclically symmetric structures. Grounded in modal superposition and cyclic symmetry theory, the algorithm partitions the rotor and blades into multiple substructures. First, the internal degrees of freedom in these substructures are condensed, and then cyclic interface displacement compatibility is applied to couple the rotor and blades into a unified system. This process significantly decreases both the total degrees of freedom in the coupled system and the order of the coefficient matrix. To validate the approach, the proposed algorithm was implemented in Matlab for a specific test case. The results indicate that the computed vibration frequencies deviate by no more than five percent from those obtained through conventional software. Additionally, the coupled mode shapes align closely with those reported in the literature, and the required computation time is only 45 percent of the original duration. These findings highlight the practicality and feasibility of the proposed algorithm for analyzing cyclically symmetric structures.

Wuhan University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 86%
Composite Structure Analysis and Optimization
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.