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| Performance analysis of a strut-aided hypersonic scramjet by full-scale IDDES modeling 期刊论文 AEROSPACE SCIENCE AND TECHNOLOGY, 2021, 卷号: 117, 页码: 14 Authors: Yao W(姚卫) ; Liu H(刘杭); Yue LJ(岳连捷) ; Xiao YB(肖雅彬)![](/image/person.jpg)
Adobe PDF(2954Kb)  |   Favorite  |  View/Download:310/77  |  Submit date:2021/11/15 Hypersonic combustion Hydrogen Improved Delayed Detached Eddy Simulation (IDDES) Dynamic zone flamelet model Scramjet |
| Advances in critical technologies for hypersonic and high-enthalpy wind tunnel 期刊论文 CHINESE JOURNAL OF AERONAUTICS, 2020, 卷号: 33, 期号: 12, 页码: 3027-3038 Authors: Jiang ZL(姜宗林) ; Hu ZM(胡宗民) ; Wang YP(汪运鹏) ; Han GL(韩桂来)![](/image/person.jpg)
Adobe PDF(1129Kb)  |   Favorite  |  View/Download:363/179  |  Submit date:2021/03/30 High-enthalpy flow Hypersonic wind tunnel Aerospace vehicle Aerodynamic balance Heat flux sensor Optical measurement technique |
| Mechanical Point Loading Induces Cortex Stiffening and Actin Reorganization 期刊论文 BIOPHYSICAL JOURNAL, 2019, 卷号: 117, 期号: 8, 页码: 1405-1418 Authors: Hu JR(胡锦荣) ; Chen SB(陈深宝) ; Hu WH(胡文慧); Lv SQ(吕守芹) ; Long M(龙勉)![](/image/person.jpg)
View  |   Adobe PDF(4950Kb)  |   Favorite  |  View/Download:411/88  |  Submit date:2019/11/26 |
| Six sigma robust design optimization for thermal protection system of hypersonic vehicles based on successive response surface method 期刊论文 CHINESE JOURNAL OF AERONAUTICS, 2019, 卷号: 32, 期号: 9, 页码: 2095-2108 Authors: Zhu JJ; Wang XJ; Zhang HG; Li YW; Wang RX(王睿星); Qiu ZP
View  |   Adobe PDF(2082Kb)  |   Favorite  |  View/Download:463/197  |  Submit date:2020/03/21 Hypersonic vehicle Six sigma robust optimization Successive response surface Thermal protection system Uncertainty |
| Machine learning assisted design of high entropy alloys with desired property 期刊论文 ACTA MATERIALIA, 2019, 卷号: 170, 页码: 109-117 Authors: Wen C; Zhang Y; Wang CX ; Xue DZ; Bai Y; Antonov S; Dai LH(戴兰宏) ; Lookman T; Su YJ
View  |   Adobe PDF(4895Kb)  |   Favorite  |  View/Download:1459/860  |  Submit date:2019/06/10 Multi-principal element alloys Active learning Machine learning Materials genome initiative |