000			01734cam a2200229 a 4500
001			vtls003026272
003			MY-SjTCS
005			20200306155026.0
008			110218s2005 enkaf b 001 0 eng
020			_a0470855401 (hbk.)
039		9	_a201102181353 _bVLOAD _c200605051425 _deunice _c200603081226 _dmeena _y200602221603 _zmeena
082	0	4	_a629.10285 _bKEA
100	1		_aKeane, A. J. _9220463
245	1	0	_aComputational approaches for aerospace design : _bthe pursuit of excellence / _cAndy J. Keane, Prasanth B. Nair.
260			_aChichester, England : _bJohn Wiley, _cc2005.
300			_axx, 582 p., [4] p. of plates : _bill. (some col.) ; _c25 cm.
505	0		_aForeword. - 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.
650		0	_aAerospace engineering _xData processing. _9220464
650		0	_aAerospace engineering _xMathematics. _9220465
700	1		_aNair, P. B. _e(j.a.) _9220466
920			_aGEN : 32179
999			_c35620 _d35620