Forced Vibration Analysis of Rotating Blades Subjected to Large Deformations: A Numerical Investigation With VIBRANT

Abstract Rotating blades in aircraft engines and wind turbines are critical components subjected to dynamic loads that can cause significant deformations. Accurate analysis of their forced vibration behaviour under large deformations is essential for ensuring performance and structural integrity. This study utilises the Vibration BehaviouR ANalysis Tool (VIBRANT) to investigate complex nonlinearities in blade systems, including large deformation scenarios. Through academic examples, VIBRANT demonstrates its reliability and capability to model nonlinear behaviours, including modal coupling and resonance phenomena. The analysis explores the influence of parameters such as blade geometry and material type, including metallic alloys (e.g., aluminium and titanium) and composites. Detailed frequency response analyses reveal the importance of accurately modelling interactions between material properties and geometric configurations. Comparative results highlight the impact of design choices on natural frequencies, mode shapes, and damping efficiency. VIBRANT’s ability to handle large deformations, combined with its flexibility and efficiency, positions it as a powerful tool for engineers and researchers. Its user-friendly structure and robust performance make it suitable for designing and optimising rotating blade systems across various industries while maintaining computational efficiency.

Authors

Institutions

Publication Details

Published
2025-05-05
DOI
https://doi.org/10.1115/ssdm2025-152240
Citations
1
Primary Topic
Magnetic Bearings and Levitation Dynamics
Type
article
Field-Weighted Citation Impact
1.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Forced Vibration Analysis of Rotating Blades Subjected to Large Deformations: A Numerical Investigation With VIBRANT

Mertol Tüfekci
1 citations
Magnetic Bearings and Levitation Dynamics
1.21
article

Forced Vibration Analysis of Rotating Blades Subjected to Large Deformations: A Numerical Investigation With VIBRANT

Mertol Tüfekci
article en
1 citations

Abstract

Abstract Rotating blades in aircraft engines and wind turbines are critical components subjected to dynamic loads that can cause significant deformations. Accurate analysis of their forced vibration behaviour under large deformations is essential for ensuring performance and structural integrity. This study utilises the Vibration BehaviouR ANalysis Tool (VIBRANT) to investigate complex nonlinearities in blade systems, including large deformation scenarios. Through academic examples, VIBRANT demonstrates its reliability and capability to model nonlinear behaviours, including modal coupling and resonance phenomena. The analysis explores the influence of parameters such as blade geometry and material type, including metallic alloys (e.g., aluminium and titanium) and composites. Detailed frequency response analyses reveal the importance of accurately modelling interactions between material properties and geometric configurations. Comparative results highlight the impact of design choices on natural frequencies, mode shapes, and damping efficiency. VIBRANT’s ability to handle large deformations, combined with its flexibility and efficiency, positions it as a powerful tool for engineers and researchers. Its user-friendly structure and robust performance make it suitable for designing and optimising rotating blade systems across various industries while maintaining computational efficiency.

University of Hertfordshire (GB)
Openalex Percentile: Top 20%
Magnetic Bearings and Levitation Dynamics
1.21
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.