2023 Conference Theme - Testing of Large Scale Composite Structures

Presentations

Application of digital image correlation (DIC) to torsional tests of a 40m wind turbine blade 
D Langston, Y Mahadik, P Greaves, O Thomsen & T Macquart
University of Bristol, UK

Use of digital image correlation and machine learning for the optimal strain placement in a full scale composite tidal turbine blade
J McLoughlin, MJ Munko, MA Valdivia Camacho, F Cuthill & S Lopez Dubon
University of Edinburgh, UK

Progress in full-field data fusion from a complex CFRP aero structure 
G Olafsson & J Dulieu-Barton
University of Bristol, UK

Compensation of apparent strain data due to temperature gradients in a full-scale mechanical test of a composite tidal turbine blade
S Castellano, MA Valdivia Camacho, MJ Munko, F Cuthill, C OBradaigh, ED McCarthy & S Lopez Dubon
University of Edinburgh, U

Using audio-data for anomaly detection in the fatigue test of a composite tidal turbine blade
MJ Munko, MA Valdivia Camacho, F Cuthill, C O’Bradaigh, & S Lopez Dubon
University of Edinburgh, UK

Integration of DIC into multi-measurement system to optimise full-scale wing testing
E Rolfe
Airbus, UK

Parasitic effects of load introduction points in full-scale composite tidal turbine blade tests
MA Valdivia Camacho, MJ Munko, F Cuthill, ED McCarthy, C O’Bradaigh, & S Lopez Dubon
University of Edinburgh, UK

Capturing the moment: Measurement of bending moment in rotor blade test specimens using Digital Image Correlation *
J Hiles
Leonardo Helicoptors, UK