High-order computational fluid dynamics tools for aircraft design

Most forecasts predict an annual airline traffic growth rate between 4.5 and 5 in the foreseeable future. To sustain that growth, the environmental impact of aircraft cannot be ignored. Future aircraft must have much better fuel economy, dramatically less greenhouse gas emissions and noise, in addit...

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Bibliographic Details
Published in:Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences physical, and engineering sciences, 2014-08, Vol.372 (2022), p.20130318-20130318
Main Author: Wang, Z. J.
Format: Article
Language:English
Subjects:
Aircraft Design
Computational Fluid Dynamics
Green And Sustainable Aviation
High-Order
Review
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Summary:Most forecasts predict an annual airline traffic growth rate between 4.5 and 5 in the foreseeable future. To sustain that growth, the environmental impact of aircraft cannot be ignored. Future aircraft must have much better fuel economy, dramatically less greenhouse gas emissions and noise, in addition to better performance. Many technical breakthroughs must take place to achieve the aggressive environmental goals set up by governments in North America and Europe. One of these breakthroughs will be physics-based, highly accurate and efficient computational fluid dynamics and aeroacoustics tools capable of predicting complex flows over the entire flight envelope and through an aircraft engine, and computing aircraft noise. Some of these flows are dominated by unsteady vortices of disparate scales, often highly turbulent, and they call for higher-order methods. As these tools will be integral components of a multi-disciplinary optimization environment, they must be efficient to impact design. Ultimately, the accuracy, efficiency, robustness, scalability and geometric flexibility will determine which methods will be adopted in the design process. This article explores these aspects and identifies pacing items.
ISSN:1364-503X
1471-2962
DOI:10.1098/rsta.2013.0318