Multiobjective Optimization of Stress-Release Boot of Solid Rocket Motor under Vertical Storage Based on RBF Model

Abstract

Stress-release boot can effectively improve the structural integrity of SRM (solid rocket motor), but it will also influence the loading fraction and interior ballistic performance, so the purpose of this paper is to propose a multiobjective optimization method for stress-release boot. The design variables are the front and rear depth of the stress-release boot, and four optimization variables were determined according to the analysis of SRM performance. To optimize a SRM with star and finocyl grain, the RBF (radial basis functions) model that satisfies the accuracy requirements was established based on parametric modeling technology and the OPLHS (Optimal Latin Hypercube Sampling) method. Subsequently, the Pareto front was obtained based on the NCGA-II algorithm. And an optimal solution was obtained based on the evolutionary algorithm and weighted method. Compared with the initial SRM, the maximum Von Mises strain of the grain, the maximum principal stress of the insulator/cladding interface, the maximum axial displacement, and the volume increment decreased by 19.92%, 35.33%, 4.80%, and 4.42%, respectively. The optimization design method proposed in this paper has significant advantages in computational efficiency for the optimization of SRM and can take into account various performances of SRM, which not only is suitable for the optimization design of stress-release boot but also provides guidance for the optimization design of other shape parameters of SRM.

Radial Basis Function Surrogate Model-Based Optimization of Small Light-Weight Lead-Bismuth Reactor Core

“…Among them, the RBF surrogate model exhibits the advantages of a simple structure, good fitting accuracy, strong robustness, and stability; thus, it is suitable for complex high-dimensional nonlinear problems [7,8] and can circumvent the need for excessive calculations, while alleviating the calculation uncertainty associated with optimizing reactor design. To date, optimization methods combined with RBF surrogate model have been widely used for engineering design optimization in machinery and aerospace industries [9,10]; they are gradually being applied to reactors and related fields [11].…”

Multiobjective Optimization Method of Solid Rocket Motor Finocyl Grain Based on Surrogate Model

“…As for the multiobjective optimal design of SRMs, Miao et al [16] carried out a multiobjective optimal design of the stress release boot for several performance indicators related to the structural integrity of an SRM. Tola [17] carried out a multiobjective optimal design of a simple two-dimensional star-hole-type grain considering both internal ballistic performance and structural strength criteria.…”