摘要
弹丸起始扰动对火炮射击精度有重要影响,为了减小弹丸起始扰动,建立了某大口径轻型牵引炮弹炮耦合全炮动力学参数化有限元模型,由弹丸出炮口时刻弹丸的角位移、角速度表征弹丸起始扰动,构建优化目标函数,对火炮结构参数的影响程度进行灵敏度分析;同时利用径向基神经网络近似模型方法对弹丸起始扰动进行优化研究。结果表明,摇架臂板厚对弹丸起始扰动影响显著,优化后弹丸出炮口时刻弹丸角位移和角速度均明显减小。该结果可为火炮结构设计提供理论依据。
Initial projectile disturbances have important influence on firing accuracy of the gun.A parametric and dynamical finite element model based on projectile-barrel coupling of a large caliber light towed howitzer was established to reduce initial projectile disturbance.By use of angular displacement and angular velocity of projectile flying out of muzzle to reflect initial projectile disturbance,the optimization object function was established.The degree of influence of howitzer structural parameters on initial projectile disturbance was obtained by means of sensitivity analysis,and then the vital parameters were optimized to reduce initial projectile disturbance by means of the method of radial basis functions approximation models.The results showed that the thickness of arm plate had a notably significant effect on initial projectile disturbance,and the angular displacement and angular velocity of projectile flying out of muzzle were obviously reduced after the structural parameters were optimized.The results can provide theoretical guide for the structural design of the howitzer.
出处
《火炮发射与控制学报》
北大核心
2014年第4期39-43,78,共6页
Journal of Gun Launch & Control
基金
武器装备重点预先研究项目(40404050401)
关键词
结构设计
弹丸起始扰动
弹炮耦合射击动力学
灵敏度分析
径向基神经网络
近似模型方法
structural design
initial projectile disturbance
projectile-barrel coupled firing dy-namics
sensitivity analysis
radial basis neural network
approximation model method
作者简介
李强（1990-），男，硕士研究生，主要从事火炮全炮动力学有限元仿真及总体结构参数优化匹配技术研究。E—mail：huopao101@sina．com
