摘要

The multi-objective optimization of vehicle bottom structure under landmine explosion is a mass computation, strong-nonlinearity and high dimension multi-objective optimization problem. The protective vehicle structure response is simulated based on combination of LAE and FSI methods. The thickness and geometry parameters of vehicle bottom structure are screened with sensitivity analysis. A response surface is built by employing the experimental design and regression analysis. Eventually, the Pareto optimality, normal boundary intersection and multi-objective optimization genetic algorithms are applied to get the Pareto optimal front and an ideal solution which could give a comprehensive consideration of the contradiction between lightweight and protection capability.

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