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Introduction. Computational aerodynamics.

Paul G Tucker1

  • 1Civil and Computational Engineering Centre, University of Wales, Swansea, Singleton Park, Swansea SA2 0QG, UK. p.g.tucker@swansea.ac.uk

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|May 24, 2007
PubMed
Summary
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Computational Fluid Dynamics (CFD) aids aircraft design and environmental impact assessment. However, challenges in turbulence modeling and data validation mean CFD is not yet a fully predictive tool.

Area of Science:

  • Aerospace Engineering
  • Computational Science

Background:

  • Computational Fluid Dynamics (CFD) is extensively used in aircraft design.
  • CFD plays a role in addressing the environmental impact of flight.

Purpose of the Study:

  • To discuss the applications of CFD in aircraft design.
  • To explore enabling technologies and challenges in CFD for aerospace.

Main Methods:

  • Contrast of Large Eddy Simulation (LES), Reynolds-averaged Navier-Stokes (RANS), and hybrid turbulence models.
  • Discussion of CFD predictions for jet configurations, aeroelasticity, design optimization, and flow modeling.

Main Results:

  • Identified a lack of detailed measurements for validating CFD models.
  • Turbulence modeling remains a significant weakness in CFD.

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Conclusions:

  • CFD requires improvements in solver technology, grid generation, and geometry handling for greater robustness, speed, and accuracy.
  • Expertise is still crucial, and a combination of computation, measurement, and analytic solutions is necessary.