Uncertainty analysis and probabilistic design optimization of hybrid rocket motors for manned lunar landing

• Published in: Science China. Technological sciences 2015-07, Vol.58 (7), p.1234-1241
• Main Authors: Zhu, Hao, Tian, Hui, Cai, GuoBiao, Bao, WeiMin
• Format: Article
• Language: English
• Subjects: Engineering; 不确定性分析; 人力资源管理系统; 优化设计方法; 概率密度; 液体火箭发动机; 混合火箭发动机; 设计优化; 载人登月
• ISSN: 1674-7321; 1869-1900
• DOI: 10.1007/s11431-015-5849-5

To obtain a conceptual design for a hybrid rocket motor （HRM） to be used as the Ascent Propulsion System in the Apollo lu- nar module, the deterministic design optimization （DDO） method is applied to the HRM design. Based on the results of an un- certainty analysis of HRMs, an uncertainty-based design optimization （UDO） method is also adopted to improve the design re- liability. The HRM design process, which is a multidisciplinary system, is analyzed, and a mathematical model for the system design is established to compute the motor performance from the input parameters, including the input variables and model parameters. The input parameter uncertainties are quantified, and a sensitivity analysis of the model parameter uncertainties is conducted to identify the most important model parameter uncertainties for HRMs. The DDO and probabilistic UDO methods are applied to conceptual designs for an HRM to be used as a substitute for the liquid rocket motor （LRM） of the Ascent Pro- pulsion System. The conceptual design results show that HRMs have several advantages as an alternative to the LRM of the Ascent Propulsion System, including nontoxic propellant combination, small motor volume, and comparable functions, such as restarting and throating. Comparisons of the DDO and UDO results indicate that the UDO method achieves more robust and reliable optimal designs than the DDO method. The probabilistic UDO method can be used to develop better conceptual de- signs for HRMs.