Multi-objective optimization design of a multi-layer honeycomb sandwich structure under blast loading

In order to improve the shielding performance of the underbody protective structure of military vehicles when subjected to explosive events, a multi-layer honeycomb sandwich structure is proposed. Full consideration of the computing response of the underbody protective structure under blast loading is a large-scale and strongly non-linear problem; a reasonably simplified finite element model is constructed in this paper. LS-DYNA software was employed to simulate blast loading by using the *LOAD_BLAST equation and to compute the dynamic responses of the vehicle; then, full-scale experiments were performed to validate the accuracy of the numerical simulation. The geometric dimensions and the shape parameters of the multi-layer honeycomb sandwich structure are selected as the design variables, thereby establishing a response surface and a mathematical optimization model by employing the design-of-experiments method. A Pareto spatial optimal set is obtained by applying a multi-objective genetic algorithm. Eventually, using the normal-boundary intersection algorithm an optimum design was obtained, which can apparently enhance the shielding performance of the underbody protective structure of military vehicles without increasing the mass.