Some advanced concepts in discrete aerodynamic sensitivity analysis

15th AIAA Computational Fluid Dynamics Conference

Volumn , Issue , 2001, Pages

  Taylor III, Arthur C ^a   Newman, Perry A ^b   Green, Lawrence L ^b   Putko, Michele M ^a  

^a Old Dominion University   (United States)

^b NASA LANGLEY RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84894450770     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Newman, J.C. Ill; Taylor, A.C. Ill; Barnwell, R.W.; Newman, P.A.; and Hou, GJ.-W.; Overview of Sensitivity Analysis and Shape Optimization for Complex Aerodynamic Configurations, AIAA Journal of Aircraft, Vol. 36, No. 1, Jan.-Feb. 1999, pp. 87-96 (an invited contribution).
2. Newman, P.A.; Hou, G.W.; Jones, H.E.; Taylor, A.C. Ill; and Korivi, V.M.; Observations on Computational Methodologies For Use in Large- Scale Gradient-Based Multidisciplinary Design Incorporating Advanced CFD Codes, Proceedings of the Fourth AIAA/USAF/NASA/QAL Symposium on Multidisciplinarv Analysis and Optimization, pp. 531-542, Sept. 21-23 1992, Cleveland OH, AIAA Paper 92-4753.
3. Sherman, L.L.; Taylor, A.C. Ill; Green, L.L.; Newman, P.A.; Hou, G.J.-W; and Korivi, V.M.; First- and Second-Order Aerodynamic Sensitivity Derivatives Via Automatic Differentiation with Incremental Iterative Method, Journal of Computational Physics, Vol. 129, Dec. 1996, pp. 307-331.
4. Taylor, A.C. Ill; and Oloso, A.; Aerodynamics Design Optimization Using Advanced CFD Codes, Automatic Differentiation, and Parallel Computing, Computational Fluid Dynamics Review 1998, Article 31 of Vol.1, pp. 560-571; Editors: M. Hafez and K. Oshima, published by World Scientific Publishing Co., 1998 (an invited contribution).
5. Taylor, A.C.III; and Oloso, A.; Aerodynamic Design Sensitivities by Automatic Differentiation, AIAA Paper 98-2536, June 1998 (an invited paper).
6. Carle, A.; Pagan, M.; and Green, L.; Preliminary Results from the Application of Automatic Adjoint Code Generation to CFL3D, Proceedings of the Seventh AIAA/NASA/ISSMO Symposium on Multidisciplinarv Analysis and Optimization: Sept. 1998, St. Louis MO; AIAA Paper 98-4807.
7. Carle, A.; and Pagan, M.; Overview of ADIFOR 3.0, Department of Computational an Applied Mathematics, Rice University, CAAM-TR 00-02, Jan. 2000.
8. Oloso, A.; and Taylor, A.C. Ill; Aerodynamic Shape-Sensitivity Analysis and Design Optimization on the IBM-SP2 Using the 3D Euler Equations, Proceedings of the 15th AIAA Applied Aerodynamics Conference: June 23-25 1997, Atlanta GA; AIAA Paper 97-2204.
9. Taylor, A.C. Ill; Oloso, A.; and Newman, J.C. Ill; CFL3D.ADII (v. 2.0): An Efficient Accurate General-Purpose Code for Flow Shape-Sensitivity Analysis, Proceedings of the 15th AIAA Applied Aerodynamics Conference: June 23-25 1997, Atlanta GA; AIAA Paper 97-2275.
10. Park, M. M.; Green, L. L.; Montgomery, R. C.; and Raney, D. L.: Determination of Stability and Control Derivatives Using Computational Fluid Dynamics and Automatic Differentiation, Proceedings of the 17th AIAA Applied Aerodynamics Conference: June 28-July 1 1999, Norfolk VA; AIAA Paper 99-3136.
11. Putko, M. M.; Newman, P. A.; Taylor, A. C. Ill; Green, L. L., Approach for Uncertainty Propagation and Robust Design in CFD Using Sensitivity Derivatives, Proceedings of the 15th AIAA Computational Fluid Dynamics Conference: June 11-14 2001, Anaheim CA; AIAA Paper 2001-2528.
12. Lewis, R. M.: The Adjoint Approach in a Nutshell, SIAM Activity Group on Optimization Views-and-News, Vol. 11, No. 2, Aug. 2000, pp. 9-12.