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

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