A Multi-objective Optimization Design Framework for Thin-Walled Tubular Deployable Composite Boom for Space Applications

The thin-walled tubular deployable composite boom (DCB), which can achieve folding and deploying functions by storing and releasing strain energy, has great potential applications in the space field, such as being the main supporting part of deployable structures like solar sails. This paper proposes a multi-objective optimization design framework for the DCB. First, the energy method was used to determine the folding moment required during the folding process of the DCB. Based on the analytical model of the folding moment, an analytical model was proposed to predict the failure index of the DCB in the folding state, using the classical laminate theory and three failure criteria. Then, a multi-objective optimization design framework for optimizing the DCB was proposed based on the popular NSGA-III algorithm. The optimization results show that a total of 458 design schemes are found on the Pareto front, all of which are superior to the data in the literature, demonstrating the effectiveness of the multi-objective optimization design framework. The research results are of great significance for the practical engineering application of the DCB.