The future information warfare has put forward high requirements for core indicators such as the range,shooting accuracy and maneuverability of mortars,and the lightweight design of base-plates has become a research hotspot in the lightweight design of mortars.Composite materials are applied in base plate design due to their advantages such as high strength,light weight,and impact resistance.In order to ensure the strength and stability of composite material base-plates,and expand the applicable working-conditions of composite material base-plates,a multi-objective aggregation method was adopted to optimize the displacement of the base-plate along the axis direction of gun barrel,the displacement in the lateral direction,the degree of rebound during the re-entry stage,the vibration state of the muzzle,and the quality of base-plate.A multi-objective study on the multi working-conditions of composite material bas-plates for mortars was carried out.Using the BP neural network method,an approximate surrogate model was constructed,and model validation and trustworthiness evaluation were carried out.Based on the surrogate model,genetic algorithms were used to solve optimization problems.Considering the material characteristics of composite laminates,the optimal design of composite base-plates was carried out to achieve the best match between shooting stability and maneuverability,and improve the comprehensive performance of mortar composite base-plates.The strength and shooting stability of composite material base-plates under three working-conditions of clay,medium hard soil and hard soil were comprehensively compared.The result indicates that the research method in this paper can offer certain reference for the lightweight design of mortars.
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