Computational aeroelastic modelling of airframes and turbomachinery : progress and challenges

被引:21
|
作者
Bartels, R. E. [1 ]
Sayma, A. I.
机构
[1] NASA, Langley Res Ctr, Aeroelasticity Branch, Hampton, VA 23681 USA
[2] Univ Sussex, Thermo Fluid Mech Res Ctr, Brighton BN1 9QT, E Sussex, England
来源
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES | 2007年 / 365卷 / 1859期
关键词
computational aeroelasticity; computational fluid dynamics; airframes; turbomachinery;
D O I
10.1098/rsta.2007.2018
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Computational analyses such as computational. fluid dynamics and computational structural dynamics have made major advances towards maturity as engineering tools. Computational aeroelasticity ( CAE) is the integration of these disciplines. As CAE matures, it also. finds an increasing role in the design and analysis of aerospace vehicles. This paper presents a survey of the current state of CAE with a discussion of recent research, success and continuing challenges in its progressive integration into multi-disciplinary aerospace design. It approaches CAE from the perspective of the two main areas of application: airframe and turbomachinery design. An overview will be presented of the different prediction methods used for each. field of application. Differing levels of nonlinear modelling will be discussed with insight into accuracy versus complexity and computational requirements. Subjects will include current advanced methods ( linear and nonlinear), nonlinear. flow models, use of order reduction techniques and future trends in incorporating structural nonlinearity. Examples in which CAE is currently being integrated into the design of airframes and turbomachinery will be presented.
引用
收藏
页码:2469 / 2499
页数:31
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