Probabilistic multi-scale design of 2D plain woven composites considering meso-scale uncertainties

This paper presents a novel multi-scale design strategy for 2D plain woven composites considering the manufacturing process. The methodology integrates meso-structural geometry of fabric to maximise buckling load composite stiffened panels at macro-level. A numerical model simulate autoclave process is developed, in which new geometric modelling method proposed construct more realistic RVE accounting compaction effects. Deterministic and robust optimisations are conducted find solutions with both high performances robustness uncertainties. In particular, this study considers morphological uncertainties meso-scale structure, i.e. yarns’ waviness porosity incurred during its influence on structural integrity parts. optimisation results obtained from deterministic problems presented. parametric analysis characterise sensitivity properties yarns related It shown that space between has significant negative impact cure-induced residual stresses. • developed probabilistic composites. Meso-scale considered. technique proposed.