CAJ | 학술논문

用人工神经网络算法,对某型导弹固体火箭发动机喷管防水板结构的5个参数进行了研究. 模拟得到了防水板在中心受到?150 mm、大小为10 t压头的最差工况下的变形与应变,并与试验对比验证数值模拟的正确性. 以防水板最大主应力和最小质量为目标函数,获得了目标函数随设计变量的曲线关系,并对参数进行了灵敏度分析. 优化能有效减轻防水板质量,较传统设计方法使其质量下降了45.95%,优化结果可指导发动机防水板结构的优化设计.
용인공신경망락산법,대모형도탄고체화전발동궤분관방수판결구적5개삼수진행료연구. 모의득도료방수판재중심수도?150 mm、대소위10 t압두적최차공황하적변형여응변,병여시험대비험증수치모의적정학성. 이방수판최대주응력화최소질량위목표함수,획득료목표함수수설계변량적곡선관계,병대삼수진행료령민도분석. 우화능유효감경방수판질량,교전통설계방법사기질량하강료45.95%,우화결과가지도발동궤방수판결구적우화설계.
Five parameters of waterproof board( WB) for the SRM of some type of missile were investigated using artificial neu-ral network algorithm (ANN).The objective function employed in the present work was the max stress and the min mass of the SRM waterproof board which bears a hydraulic pressure.The deformation and the strain of the waterproof board under the force of 10 t at center position were obtained,and the correctness of the numerical simulation was verified by comparing to the experimental results. The objective function vs. design variables curves were plotted,and the parameters sensitivity analysis were carried out.Optimization can decrease the mass of the waterproof board effectively by 45. 59% compared to traditional methods. The results obtained can be used as a guidline for the optimal structure design of the SRM waterproof board.