为预测弹体撞击双钢板混凝土板的贯穿速度及获得结构因素对贯穿速度的影响排序，基于量纲分析和人工神经网络建立了贯穿速度无量纲方程和预测模型，并采用正交试验法确定有限元计算工况，结合方差分析定量评价了7种板的结构因素对贯穿速度的影响程度。结果表明，贯穿速度预测模型的预测值与实际值的误差小于12%；钢板厚度影响显著，对拉钢筋间距和混凝土厚度影响较大，钢板屈服强度、对拉钢筋屈服强度、对拉钢筋直径影响较小，混凝土抗压强度影响最小。建立的贯穿速度预测模型预测效果良好，从新的角度解决了贯穿速度的预测问题，可有效评估双钢板混凝土板抗弹体贯穿的能力，结构因素影响排序有益于双钢板混凝土板抗弹体贯穿的优化设计。

In order to predict perforation velocity of SCS (steel-concrete-steel) slab against missile impact and obtain influence sequence of structural factors of SCS slab on the perforation velocity, a dimensionless equation of the perforation velocity was established and a prediction model was obtained based on dimensional analysis and artificial neural network. Orthogonal experiment design was used to determine finite element calculation, and the influence degree of 7 factors of SCS slab on perforation velocity was quantitatively evaluated by variance analysis. The deviation between the predicted perforation velocity and the actual value is less than 12%, and the quantitative evaluation results of variance analysis show that the thickness of steel plate has a largest effect, followed by the distance of tie bar and the thickness of concrete, the yield strength of steel plate, the yield strength of tie bar and the diameter of tie bar have a smaller effect, and the concrete compressive strength has a smallest effect. The established model solves the prediction problem of perforation velocity from a new perspective with a good prediction effect, which can effectively evaluate the ability of SCS slab against perforation failure of missile impact, and the order of the factors is beneficial to the optimal design of SCS slab resisting perforation from missile impact.