Literature DB >> 25024413

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

Jeffrey P Slotnick1, Abdollah Khodadoust2, Juan J Alonso3, David L Darmofal4, William D Gropp5, Elizabeth A Lurie6, Dimitri J Mavriplis7, Venkat Venkatakrishnan8.   

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.
© 2014 The Author(s) Published by the Royal Society. All rights reserved.

Entities:  

Keywords:  aerodynamics; clean aviation; computational fluid dynamics; high-performance computing; propulsion

Year:  2014        PMID: 25024413      PMCID: PMC4095895          DOI: 10.1098/rsta.2013.0317

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  1 in total

1.  Theory of the lattice boltzmann method: dispersion, dissipation, isotropy, galilean invariance, and stability

Authors: 
Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics       Date:  2000-06
  1 in total
  1 in total

1.  Aerodynamics, computers and the environment.

Authors:  P G Tucker; J R DeBonis
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2014-08-13       Impact factor: 4.226

  1 in total

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