Study on blade dynamic response and fatigue damage based on bi-directional fluid-structure coupling

Wind turbines operate under a variety of unsteady wind conditions, and the aerodynamic response of the blades exhibits nonlinear behavior. Study the dynamic response characteristics of wind turbine units structures under diverse wind conditions, optimize structural dynamic performance, and predict blade fatigue life, this study employs real-time bidirectional fluid-structure interaction coupled with turbulence, wind shear, gradual wind, and gust models implemented through UDF in accordance with the IEC61400-1 wind turbine standard. The dynamic responses of displacement, velocity, acceleration, stress, and strain of wind turbine components with independent intellectual property rights are analyzed under four wind conditions. Results indicate that blade tip and mid-span flapping amplitudes are significantly larger than swaying vibrations. Wind loads induce aeroelastic coupling, with blade natural frequencies approaching both flapping and swaying frequencies. The average deformation displacement and velocity are 15 mm and 0.2 mm/s, respectively. In the pendulum direction, changes follow a similar trend; however, deformation is relatively small and consistently negative, with an average displacement of 0.2 mm and an oscillation amplitude of 0.4 mm. Maximum fatigue damage occurs near the maximum blade chord length, and stress is concentrated at the connection between the blade root and the hub, leading to more pronounced damage. These findings provide a theoretical basis for wind turbine structural optimization and whether it is of great significance for extending the service life of the blades and enhancing stable turbine operation.

Authors

Institutions

Publication Details

Journal
IET conference proceedings.
Published
2025-12-01
DOI
https://doi.org/10.1049/icp.2025.3450
Primary Topic
Wind Energy Research and Development
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Study on blade dynamic response and fatigue damage based on bi-directional fluid-structure coupling

Jianwen Wang, Yan Wengang, Zhiguo Li, Gao Zhiying et al.
IET conference proceedings.
Wind Energy Research and Development
article

Study on blade dynamic response and fatigue damage based on bi-directional fluid-structure coupling

Jianwen Wang, Yan Wengang, Zhiguo Li, Gao Zhiying, Niu Zhiqiang, Xue Junfang
article en

Abstract

Wind turbines operate under a variety of unsteady wind conditions, and the aerodynamic response of the blades exhibits nonlinear behavior. Study the dynamic response characteristics of wind turbine units structures under diverse wind conditions, optimize structural dynamic performance, and predict blade fatigue life, this study employs real-time bidirectional fluid-structure interaction coupled with turbulence, wind shear, gradual wind, and gust models implemented through UDF in accordance with the IEC61400-1 wind turbine standard. The dynamic responses of displacement, velocity, acceleration, stress, and strain of wind turbine components with independent intellectual property rights are analyzed under four wind conditions. Results indicate that blade tip and mid-span flapping amplitudes are significantly larger than swaying vibrations. Wind loads induce aeroelastic coupling, with blade natural frequencies approaching both flapping and swaying frequencies. The average deformation displacement and velocity are 15 mm and 0.2 mm/s, respectively. In the pendulum direction, changes follow a similar trend; however, deformation is relatively small and consistently negative, with an average displacement of 0.2 mm and an oscillation amplitude of 0.4 mm. Maximum fatigue damage occurs near the maximum blade chord length, and stress is concentrated at the connection between the blade root and the hub, leading to more pronounced damage. These findings provide a theoretical basis for wind turbine structural optimization and whether it is of great significance for extending the service life of the blades and enhancing stable turbine operation.

IET conference proceedings.Vol. 2025(35)
Inner Mongolia University of Technology (CN)
Openalex Percentile: Top 48%
Wind Energy Research and Development
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.