Uncertainty modelling and multiscale simulation of woven composite twisted structure

The woven composite twisted structure under cantilever load is studied using experimental and multiscale numerical methods. The uncertain geometry parameters inside the twisted specimen are identified using Micro-CT scanning technology, and quantified using multivariate Gaussian random field theory. A high-fidelity mesoRepresentative Volume Cell (RVC) database after data clustering is established using these uncertainties, in which the warp and weft yarns are no longer regular orthogonality, the yarn cross-sectional area and the yarns gap exhibit variability. The statistical uncertainty quantification and propagation are further integrated into the coupled Finite Element-Fast Fourier Transformation (FE-FFT) concurrent multiscale method to reveal the damage and failure mechanisms of the woven composite twisted structure. The numerical results are in good agreement with the experiment results. This study can be helpful of designing the woven composite blade structures.

Automated summary

The study investigates the woven composite twisted structure under cantilever load using experimental and multiscale numerical methods. Uncertain geometry parameters are identified and quantified using Micro-CT scanning technology. Furthermore, statistical uncertainty quantification and propagation are integrated into the coupled Finite Element-Fast Fourier Transformation (FE-FFT) concurrent multiscale method to reveal the damage and failure mechanisms of the structure.