The thin-walled lenticular deployable composite (LDC) boom can achieve folding and deployment functions by storing and releasing strain energy. In this paper, analytical models for predicting the folding moment and the ultimate coiling radius of the lenticular DCB in the folding process were established based on the energy principle and the classical laminate theory. By using the non-dominated sorting genetic algorithm III (NSGA-III), a many-objective optimization design framework for optimizing the lenticular DCB was proposed. The optimization results show that 48 design points are found on the Pareto front, all of which are better than test sample.

A full-scale model for predicting low-velocity impact (LVI) damage and compression after impact (CAI) strength was established based on a subroutine of the material constitutive relationship and the cohesive elements. The dynamic responses of the laminate under impact load and damage propagation under a compressive load were presented. The influences of impact energy and ply thickness on the impact damage and the CAI strength were predicted. The predicted results were compared with the experimental ones. It is shown that the predicted value of the CAI strength is in good agreement with the experimental result. As the impact energy reaches a certain value, the CAI strength no longer decreases with the increase in the impact energy. Decreasing the ply thickness can effectively improve the damage resistance and CAI strength.