Abstract
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.
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