Taylor's Library Banner
Image from Google Jackets

Computational approaches for aerospace design : the pursuit of excellence / Andy J. Keane, Prasanth B. Nair.

By: Contributor(s): Publication details: Chichester, England : John Wiley, c2005.Description: xx, 582 p., [4] p. of plates : ill. (some col.) ; 25 cmISBN:
  • 0470855401 (hbk.)
Subject(s): DDC classification:
  • 629.10285 KEA
Contents:
Foreword. - Preface. - Acknowledgment. - 1. Preliminaries. 1. Introduction. - 2. Design-oriented analysis. 3. Elements of numerical optimization. - II. Sensitivity analysis and approximation concepts. 4. Sensitivity analysis. 5. General approximation concepts and surrogates. 6. Physics-based approximations. - III. Frameworks for design space exploration. 7. Managing surrogate models in optimization. 8. Design in the presence of uncertainty. 9. Architectures for multidisciplinary optimization. - IV. Case studies. 10. A problem in satellite design. 11. Airfoil section design. 12. Aircraft wing design - data fusion between codes. 13. Turbine blade design (1) - guide-vane SKE control. 14. Turbine blade design (II) - Fir-tree root geometry. 15. Aero-engine nacelle design using the geodise toolkit. 16. Getting the optimization process started. - Bibliography. - Index.
Holdings
Cover image Item type Current library Home library Collection Shelving location Shelf location Call number Materials specified Vol info Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Main Collection Taylor's Library-TU

Floor 4, Shelf 20 , Side 1, TierNo 5, BayNo 4

 629.10285 KEA (Browse shelf(Opens below)) 1 Available SOExx,07016,03,GR 5000059342

Foreword. - Preface. - Acknowledgment. - 1. Preliminaries. 1. Introduction. - 2. Design-oriented analysis. 3. Elements of numerical optimization. - II. Sensitivity analysis and approximation concepts. 4. Sensitivity analysis. 5. General approximation concepts and surrogates. 6. Physics-based approximations. - III. Frameworks for design space exploration. 7. Managing surrogate models in optimization. 8. Design in the presence of uncertainty. 9. Architectures for multidisciplinary optimization. - IV. Case studies. 10. A problem in satellite design. 11. Airfoil section design. 12. Aircraft wing design - data fusion between codes. 13. Turbine blade design (1) - guide-vane SKE control. 14. Turbine blade design (II) - Fir-tree root geometry. 15. Aero-engine nacelle design using the geodise toolkit. 16. Getting the optimization process started. - Bibliography. - Index.