Location of Repository

Optimization using surrogate models and partially converged computational fluid dynamics simulations

By A.I.J. Forrester, N.W. Bressloff and A.J. Keane


Efficient methods for global aerodynamic optimization using computational fluid dynamics simulations should aim to reduce both the time taken to evaluate design concepts and the number of evaluations needed for optimization. This paper investigates methods for improving such efficiency through the use of partially converged computational fluid dynamics results. These allow surrogate models to be built in a fraction of the time required for models based on converged results. The proposed optimization methodologies increase the speed of convergence to a global optimum while the computer resources expended in areas of poor designs are reduced. A strategy which combines a global approximation built using partially converged simulations with expected improvement updates of converged simulations is shown to outperform a traditional surrogate-based optimization

Topics: T, TL
Year: 2006
OAI identifier: oai:eprints.soton.ac.uk:23873
Provided by: e-Prints Soton

Suggested articles



  1. (2004). A parallel updating scheme for approximating and optimizing high fidelity computer simulations.
  2. (1951). A statistical approach to some basic mine valuation problems on the Witwatersrand.
  3. (1988). Aerodynamic design via control theory.
  4. (2000). Aircraft wing design using GA-based multi-level strategies.
  5. (1995). Airfoil optimization by the one-shot method.
  6. (1976). An introduction to linear regression and correlation.
  7. (2001). Approximation and model management in aerodynamic optimization with variable-fidelity models.
  8. (2005). Computational approaches for aerospace design: the pursuit of excellence.
  9. (1997). Computer experiments and global optimization.
  10. (2001). Concise orthogonal representation of supercritical aerofoils.
  11. (1989). Design and analysis of computer experiments.
  12. (2002). Design of optimal aerodynamic shapes using stochastic optimization methods and computational intelligence.
  13. (2004). Efficient global optimisation using expensive CFD simulations.
  14. (1987). Empirical model-building and response surfaces. Wiley series in probability and mathematical statistics.
  15. (1995). Exploratory designs for computer experiments.
  16. (2003). Fast convergence of inviscid fluid dynamic design problems.
  17. (2003). Fluent user guide.
  18. (2006). Forrester and others 2204
  19. (1998). Getting the full benefits of CFD in conceptual design.
  20. (1999). Multifidelity design of stiffened composite panel with a crack.
  21. (1990). NASA supercritical airfoils—a matrix offamily-related airfoils.
  22. (1999). Overview of sensitivity analysis and shape optimization for complex aerodynamic configurations.
  23. (1963). Principles of geostatistics.
  24. (1999). Reasonable design space approach to response surface approximation.
  25. (2003). Response surface model evolution.
  26. (1999). Response surface models combining linear and Euler aerodynamics for supersonic transport design.
  27. (2002). Summary of data from the first AIAA CFD drag prediction workshop.
  28. (1990). The BAE Ltd transport aircraft synthesis and optimization program.

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.