Parameter-correlation study on shock-shock interaction using a machine learning method
文献类型：期刊论文
| 作者 | Peng J(彭俊); Luo ZT(罗长童) ; Han ZJ(韩子健); Hu ZM(胡宗民); Han GL(韩桂来); Jiang ZL(姜宗林); Jiang ZL(姜宗林); Luo ZT(罗长童); Han ZJ(韩子健); Hu ZM(胡宗民)
|
| 刊名 | AEROSPACE SCIENCE AND TECHNOLOGY
 |
| 出版日期 | 2020-10-07 |
| 卷号 | 107页码:106247 |
| 关键词 | Shock-shock interaction Machine learning Hypersonic flow Impinging jet Genetic programming Triple point |
| ISSN号 | 1270-9638 |
| DOI | 10.1016/j.ast.2020.106247 |
| 英文摘要 | To predict the maximum heating load induced by shock–shock interaction more reliably and accurately, the geometrical scale of the overall wave configuration of shock–shock interaction is very useful. However, it is hard to be solved with traditional shock theory due to its complexity. The results of numerical and experimental studies are case-by-case. Concise formulas correlating the geometrical scales of shock–shock interaction with the given flow parameters are desired but still unavailable. In the present work, a set of correlative formulas for the triple-points' coordinates of type IVa, IV, and III shock–shock interaction are derived by multilevel block building algorithm, a functional machine learning method. The key flow structure of shock–shock interaction, i.e., the supersonic impinging jet, can be determined with the help of shock theories and the formulas. In addition, the transition criteria respectively for the overall wave configuration transitions of type IVa ↔ type IV and type IV ↔ type III shock–shock interaction can be obtained by the machine learning based method. |
| 分类号 | 一类 |
| 语种 | 英语 |
| WOS记录号 | WOS:000596535400015 |
| 其他责任者 | Hu Zongmin |
| 源URL | [http://dspace.imech.ac.cn/handle/311007/85681]  |
| 专题 | 力学研究所_高温气体动力学国家重点实验室 |
| 推荐引用方式 GB/T 7714 | Peng J,Luo ZT,Han ZJ,et al. Parameter-correlation study on shock-shock interaction using a machine learning method[J]. AEROSPACE SCIENCE AND TECHNOLOGY,2020,107:106247. |
| APA | 彭俊.,罗长童.,韩子健.,胡宗民.,韩桂来.,...&Han GL.(2020).Parameter-correlation study on shock-shock interaction using a machine learning method.AEROSPACE SCIENCE AND TECHNOLOGY,107,106247. |
| MLA | 彭俊,et al."Parameter-correlation study on shock-shock interaction using a machine learning method".AEROSPACE SCIENCE AND TECHNOLOGY 107(2020):106247. |
入库方式： OAI收割
来源：力学研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。