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We would like to invite you to come and see the posters at our upcoming conference. The posters will showcase a diverse range of research topics, and will give delegates an opportunity to engage with the authors and learn more about their work. Whether you are a seasoned researcher or simply curious about the latest developments in your field, we believe that the posters will offer something of interest to everyone. So please join us at the conference and take advantage of this opportunity to learn and engage with your peers in industry and the academic community.
PO165: Beam Property Extraction: Linking Full-Scale Blade Testing to Numerical Model Validation
Philipp Haselbach, Associate Professor, DTU
Abstract
The structural performance of wind turbine blades is governed by their stiffness, mass distribution, damping, which directly affect aeroelastic stability, fatigue life, and overall design validation. To capture these parameters in a systematic way, a comprehensive Beam Property Extraction (BPE) test campaign was carried out on a full-scale blade. The objectives were to determine bending and torsional stiffness distributions (EIx, EIy, GJ), elastic axis location and orientation, mass and center of gravity and damping. The campaign combined static loading, modal analysis, and dynamic pull-and-release tests with advanced measurement techniques. Static load cases with controlled mass application enabled the extraction of stiffness and elastic axis parameters, while torsional stiffness was determined via superposition of combined loading cases. Modal testing with accelerometers and digital image correlation (DIC) provided eigenfrequencies, mode shapes, and mass distribution data. Pull-and-release experiments enabled estimation of both structural and aerodynamic damping. The results provide a consistent dataset for validating numerical models (solid and beam element models) against measured strains, displacements, rotations, and dynamic responses. The methodology also offers insights into safe test execution using mass loading, a crucial aspect when operating close to large blades under load. This work supports improved model fidelity, enhances design reliability, and contributes to the industry’s ability to design lighter and more efficient blades with predictable structural behavior.
No recording available for this poster.
