数据驱动的大型运载火箭加筋圆锥壳多保真度近似建模优化  

Data driven multi-fidelity approximate modeling optimization of stiffened conical shell for large launch vehicle

作　　者：陈超磊 王志祥 雷勇军[2,3] 王婕 CHEN Chaolei;WANG Zhixiang;LEI Yongjun;WANG Jie(Unit 63768 of the People’s Liberation Army of China,Xi’an 710600,China;College of Aerospace Science and Engineering,National University of Defense Technology,Changsha 410073,China;Hunan Key Laboratory of Intelligent Planning and Simulation for Aerospace Missions,Changsha 410073,China;Beijing Institute of Aerospace Systems Engineering,Beijing 100076,China)

机构地区：[1]中国人民解放军63768部队,西安710600 [2]国防科技大学空天科学学院,长沙410073 [3]空天任务智能规划与仿真湖南省重点实验室,长沙410073 [4]北京宇航系统工程研究所,北京100076

出　　处：《机械强度》2025年第4期148-157,共10页Journal of Mechanical Strength

基　　金：湖南省自然科学基金项目(2020JJ5650)。

摘　　要：为提高大型运载火箭加筋圆锥壳舱段结构轴压承载效率,开展了数据驱动的加筋圆锥壳多保真度近似建模轻量化设计。针对单保真度近似建模优化方法效率不高、精度不足等问题,搭建了基于变可信度期望改进(Variable-Fidelity Expected Improvement,VF-EI)加点准则的数据驱动多保真度近似建模优化框架,并据此开展加筋圆锥壳结构轻量化设计。综合利用不同网格规模的加筋圆锥壳有限元模型,建立了加筋圆锥壳极限承载的Co-Kriging多保真度近似模型;优化迭代中,利用VF-EI加点准则生成多保真度采样点,以此序列提升Co-Kriging多保真度近似模型的全局和局部近似精度。典型数值和工程算例验证了上述方法的有效性,相比径向基函数近似模型和Kriging模型,Co-Kriging多保真度近似建模优化方法的效率和精度更高,获得了相比初始设计减重11.5%的优化加筋圆锥壳结构,具有一定的工程应用价值。In order to improve the load-bearing efficiency of the stiffened conical shell in large launch vehicle,the lightweight design of the stiffened conical shell was carried out via a data-driven multi-fidelity approximate modeling optimization method.Aiming at the problems such as low efficiency and insufficient accuracy of the single fidelity approximate modeling optimization method,a data-driven multi-fidelity approximate modeling optimization framework was built based on variable-fidelity expected improvement(VF-EI) point criterion,and accordingly the optimization design of stiffened conical shell structure was carried out.Based on the finite element models of stiffened conical shells with different mesh sizes,a Co-Kriging multi-fidelity approximate model for the collapse load of stiffened conical shells was established.In the optimization iteration,multi-fidelity sampling points were generated by using VF-EI point criterion,and the global and local approximation accuracy of Co-Kriging multi-fidelity approximation model was improved sequently.Moreover,the optimization efficiency and accuracy of the proposed method were demonstrated by comparing with radial basis function approximation model and Kriging model.Besides,11.5% weight reduction of the optimized stiffened conical shell structure is obtained compared with the initial design,which has certain engineering application value.

关 键 词：加筋圆锥壳 多保真度近似建模 序列近似优化方法 轻量化设计 VF-EI加点准则 

分 类 号：V421.3[航空宇航科学与技术—飞行器设计]