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PMID: 25024413 Published · ppublish English Journal Article

Enabling the environmentally clean air transportation of the future: a vision of computational fluid dynamics in 2030.

Slotnick JP, Khodadoust A, Alonso JJ, Darmofal DL, Gropp WD, Lurie EA, Mavriplis DJ, Venkatakrishnan V

Abstract

As global air travel expands rapidly to meet demand generated by economic growth, it is essential to continue to improve the efficiency of air transportation to reduce its carbon emissions and address concerns about climate change. Future transports must be 'cleaner' and designed to include technologies that will continue to lower engine emissions and reduce community noise. The use of computational fluid dynamics (CFD) will be critical to enable the design of these new concepts. In general, the ability to simulate aerodynamic and reactive flows using CFD has progressed rapidly during the past several decades and has fundamentally changed the aerospace design process. Advanced simulation capabilities not only enable reductions in ground-based and flight-testing requirements, but also provide added physical insight, and enable superior designs at reduced cost and risk. In spite of considerable success, reliable use of CFD has remained confined to a small region of the operating envelope due, in part, to the inability of current methods to reliably predict turbulent, separated flows. Fortunately, the advent of much more powerful computing platforms provides an opportunity to overcome a number of these challenges. This paper summarizes the findings and recommendations from a recent NASA-funded study that provides a vision for CFD in the year 2030, including an assessment of critical technology gaps and needed development, and identifies the key CFD technology advancements that will enable the design and development of much cleaner aircraft in the future.

Keywords
aerodynamics clean aviation computational fluid dynamics high-performance computing propulsion
作者与单位
共 8 位作者,点击展开单位 / ORCID
Slotnick Jeffrey P
Flight Sciences, The Boeing Company, Huntington Beach, CA, USA [email protected].
Khodadoust Abdollah
Flight Sciences, The Boeing Company, Huntington Beach, CA, USA.
Alonso Juan J
Department of Aeronautics and Astronautics, Stanford University, Stanford, CA, USA.
Darmofal David L
Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA, USA.
Gropp William D
Department of Computer Science, University of Illinois, Champaign, IL, USA.
Lurie Elizabeth A
Systems Analysis and Aerodynamics, Pratt & Whitney-United Technologies, East Hartford, CT, USA.
Mavriplis Dimitri J
Department of Mechanical Engineering, University of Wyoming, Laramie, WY, USA.
Venkatakrishnan Venkat
Flight Sciences, The Boeing Company, Seattle, WA, USA.
Article Info
Journal
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Abbr.
Philos Trans A Math Phys Eng Sci
ISSN
1364-503X
Corresponding email
Published
2014-08-13
页码
20130317
Language
English
Country/Region
England
NLM ID
101133385
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