This study investigated the reliability based robust design of filament-wound composite pressure vessel with metallic liner.The geodesic shape of the dome was first obtained by netting analysis.Based on the winding condition, helical ply angle and helical ply thickness change along the radius of parallel circles in the dome of the geometric model.The structure of composite pressure vessel was analyzed by using Finite element method (performed by software ANSYS).In order to relieve the stress concentration because of the hoop ply drop offat the dome-cylinder interface, the region where the cylindrical hoop plies slightly extend to the dome region was considered.The winding orientation for the helical plies in the cylindrical portion, the thickness of metal liner and the length of hoop ply drop off region were then chosen as design variables, and the invers of shape factor objective function.Tsai-Wu failure criterion and Mises failure criterion were used to predict the strength failure of composite layer and the liner respectively.A sequential algorithm [1] was adopted to carry out reliability-based robust design optimization of the composite pressure vessels.To solve the deterministic optimization problem efficiently, an optimization algorithm, surrogate based particle swarm optimization (SBPSO) algorithm which combines the surrogate modeling technique and particle swarm optimization was chosen.As compared with those by using deterministic optimization and reliability based design optimization of composite pressure vessels with metallic liner, the optimal results based on the proposed model can satisfy certain reliability requirement and have the robustness to the fluctuation of design variables.