Research on the Internal Ballistic Performance Prediction of Solid Rocket Motor Based on Monte Carlo

Qiang Cai, Wenjie Liu, Dong Li, Jiahui Luo
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Abstract

Due to the influence of internal factors and external environmental factors, the internal ballistic performance of solid rocket motors (SRM) shows certain deviation during its production and working. In order to describe the internal ballistic performance more accurately, a Monte Carlo method-based internal ballistic prediction and analysis method is proposed, and compared with the traditional limit deviation method. First, a simulation model of internal ballistics was established. Then according to the probability distribution law of the input factors, the simulation was carried out. The results show that under the premise of the same input deviation boundary, the probabilistic method can effectively reduce the dispersion of the internal ballistic performance parameters. Finally, according to the established internal ballistic probabilistic model, the sensitivity of the specific impulse to the influencing parameters was analyzed, and the degree of influence of each parameter to the specific impulse was obtained.
基于蒙特卡罗的固体火箭发动机内弹道性能预测研究
固体火箭发动机在生产和工作过程中,由于内部因素和外部环境因素的影响,其内弹道性能出现了一定的偏差。为了更准确地描述内弹道性能,提出了一种基于蒙特卡罗方法的内弹道预测与分析方法,并与传统的极限偏差法进行了比较。首先,建立了内弹道仿真模型。然后根据输入因素的概率分布规律进行仿真。结果表明,在输入偏差边界相同的前提下,概率方法可以有效地减小内弹道性能参数的分散。最后,根据建立的内弹道概率模型,分析了比冲对影响参数的敏感性,得到了各参数对比冲的影响程度。
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