Through the fatigue test data of glass fiber reinforced plastic (FRP) material, the p-S-N curve with a confidence level of 95％ and a survival rate of 97.5％ was fitted by the one-sided tolerance method, and the fatigue limit of the FRP protective door was obtained. The experiment design was completed using the Box-Behnken (BBD) sampling method, and the second-order polynomials of the stress amplitude, length, width, and thickness of the protective door were established. The second-generation genetic algorithm (NSGA-Ⅱ) and particle swarm optimization (PSO) were used. Quadratic Programming (NLPQL) three algorithms for multi-objective optimization analysis, the stress amplitude and volume of the protective door are optimized, the optimization results show that the use of the NSGA-Ⅱ algorithm is the best for volume and stress amplitude optimization with the volume reduction rate of 13.73％ and the stress amplitude reduction rate of 14.68％. Ac-cording to the optimization results, simulation verification is carried out. The simulation results are consistent with the optimization results, which proves the effectiveness of the optimization results. According to the BS 7910:2019, the structural safety of the optimized protective door with defects is evaluated. The calculation re-sults show that the FRP protective door with crack defects meets the structural safety requirements. As the val-ue of a/c is smaller, the crack tends to approach the critical line of the FAD diagram in the BS 7910:2019 in the later propagation.
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