基本信息
浏览量:107
个人简介
Research Interests
The work in our group is focused on research and development of new high-fidelity, multidisciplinary methods and techniques for the analysis and design of complex aerospace systems. The focus is on the development of the methods and their use in realistic test cases in order to assess their value. In the past, our research has involved transonic, supersonic, and hypersonic aircraft, helicopters, turbomachinery, and launch and re-entry vehicles. Current research topics of interest in the group include:
High-fidelity computational analysis of multiple disciplines (fluid mechanics, structures, acoustics, etc.)
Advanced methodologies for treatment of multi-disciplinary design.
Multi-fidelity/variable-fidelity techniques for aerospace design.
Including uncertainties in the analysis and design process (UQ and robust deisgn).
System-level analysis / assessment of technology benefits.
Design of very advanced aircraft able to meet the challenges of the NextGen.
The work in our group is focused on research and development of new high-fidelity, multidisciplinary methods and techniques for the analysis and design of complex aerospace systems. The focus is on the development of the methods and their use in realistic test cases in order to assess their value. In the past, our research has involved transonic, supersonic, and hypersonic aircraft, helicopters, turbomachinery, and launch and re-entry vehicles. Current research topics of interest in the group include:
High-fidelity computational analysis of multiple disciplines (fluid mechanics, structures, acoustics, etc.)
Advanced methodologies for treatment of multi-disciplinary design.
Multi-fidelity/variable-fidelity techniques for aerospace design.
Including uncertainties in the analysis and design process (UQ and robust deisgn).
System-level analysis / assessment of technology benefits.
Design of very advanced aircraft able to meet the challenges of the NextGen.
研究兴趣
论文作者统计合作学者相似作者
排序
按年份排序按引用量排序合作者筛选
添加论文

作者统计
合作学者
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn