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为了获得新一代大推力捆绑火箭捆绑方案的最优设计参数,针对超静定捆绑传力路径进行分析与优化设计。基于PATRAN的二次开发语言PCL对超静定捆绑火箭进行了参数化建模和仿真分析,并运用拉丁超立方试验方法对传力路径设计参数进行灵敏度分析。在此基础上提出了一种多目标粒子群和序列二次规划算法的组合优化策略,确定了捆绑联接方案设计参数,实现了对捆绑联接装置和助推器结构载荷的高效优化。计算结果表明:组合优化策略能够将主捆绑联接结构的受力减少了30%左右,明显优于单独使用一种全局优化算法或局部优化算法的优化结果。本文研究成果将为新型捆绑火箭捆绑方案优化设计提供参考。
In order to obtain the optimal design parameters of a new generation of high-thrust bundled rocket bundles, the analysis and optimization of the statically-bound bundling force path are carried out. PATLAN-based secondary development language PCL parametric modeling and simulation analysis of statically indeterminate bundled rocket, and the use of Latin hypercube test method for the force path design parameters sensitivity analysis. On the basis of this, a combinatorial optimization strategy of multi-objective particle swarm optimization and sequence quadratic programming is proposed. The design parameters of the binding scheme are determined, and the structural optimization of the binding device and booster structure is achieved. The results show that the combined optimization strategy can reduce the stress on the main binding structure by about 30%, which is obviously better than the optimization result of using a single global optimization algorithm or local optimization algorithm alone. The research results of this paper will provide references for the optimization design of new bundled rocket bundling schemes.