{"title":"基于蒙特卡罗的固体火箭发动机内弹道性能预测研究","authors":"Qiang Cai, Wenjie Liu, Dong Li, Jiahui Luo","doi":"10.1109/ICMAE52228.2021.9522461","DOIUrl":null,"url":null,"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.","PeriodicalId":161846,"journal":{"name":"2021 12th International Conference on Mechanical and Aerospace Engineering (ICMAE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on the Internal Ballistic Performance Prediction of Solid Rocket Motor Based on Monte Carlo\",\"authors\":\"Qiang Cai, Wenjie Liu, Dong Li, Jiahui Luo\",\"doi\":\"10.1109/ICMAE52228.2021.9522461\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":161846,\"journal\":{\"name\":\"2021 12th International Conference on Mechanical and Aerospace Engineering (ICMAE)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 12th International Conference on Mechanical and Aerospace Engineering (ICMAE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMAE52228.2021.9522461\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 12th International Conference on Mechanical and Aerospace Engineering (ICMAE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMAE52228.2021.9522461","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on the Internal Ballistic Performance Prediction of Solid Rocket Motor Based on Monte Carlo
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.