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 normalboundary 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.
When a charge is ignited at the bottom of a vehicle, the underbody and the occupants are the most vulnerable. The protection of the vehicle underbody is still a significant problem in the environment of a buried-mine blast impulse. The first part of this study presents an algorithm that can be used to simulate a shallow-buried-mine blast. Models using the multiple-material arbitrary Lagrangian–Eulerian algorithm and the initial-impulse mine algorithm respectively were constructed on the basis of experiments carried out by Anderson et al. The accuracy and superiority of the initial-impulse mine algorithm were proved by comparing the results for the jump velocity and the computation time. The second part introduces a blast experiment on a full-scale armoured vehicle. The occupant was represented by a Hybrid III 50th-percentile adult-male dummy. A numerical model was established using the initial-impulse mine method; the seat position represented the worst-case situation, which was same as for the experiments. A comparison of the experimental data and the simulation results, which include the peak acceleration of the floor and the force to which the dummy’s tibia is subjected, showed good agreement.
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