Multiscale damage modelling of notched and un-notched 3D woven composites with randomly distributed manufacturing defects

This work proposes a stochastic multiscale computational framework for damage modelling in 3D woven composite laminates, by considering the random distribution of manufacturing-induced imperfections. The proposed method is demonstrated to be accurate, while being simple implement and requiring modest resources. In this approach, limited number cross-sectional views obtained from micro-computed tomography (µCT) are used obtain two key defects, namely waviness voids. fed into progressive model predict response three-dimensional (3D) orthogonal composites. accuracy was performing series finite element simulations un-notched notched tensile tests (having different hole sizes) resin-infused thermoplastic (Elium®) Excellent correlation achieved between experiments simulations. demonstrates effectiveness model. successfully captured nature responses (ultimate strength stiffness), modes (matrix fibre failure), initiation propagation transverse cracks composites, consistent with experimental observation. presented paper can guide design optimization textile structures.