Global design optimization for aerodynamics and rocket propulsion components
Tóm tắt
Từ khóa
Tài liệu tham khảo
Baysal, 1992, Aerodynamic design optimization using sensitivity analysis and CFD, AIAA J, 30, 718, 10.2514/3.10977
Lambert, 1995, Constrained optimization of nacelle shapes in Euler flow using semi-analytical sensitivity analysis, Struct Optim, 10, 239, 10.1007/BF01742598
Reuther, 1999, Aerodynamic shape optimization of supersonic aircraft configurations via an adjoint formulation on distributed memory parallel computers, Comput fluids, 28, 675, 10.1016/S0045-7930(98)00050-4
Elbanna, 1994, Aerodynamic sensitivity coefficients using the three-dimensional full potential equations, J Aircraft, 31, 1071, 10.2514/3.46612
Dadone, 2000, Smoothed sensitivity equation method for fluid dynamic design problems, AIAA J, 38, 418, 10.2514/2.1000
Sobieszczanski-Sobieski, 1997, Multidisciplinary aerospace design optimization, Struct Optim, 14, 1, 10.1007/BF01197554
Shyy W, Papila N, Tucker PK, Vaidyanathan R, Griffin L. Global design optimization for fluid machinery applications. The Second International Symposium On Fluid Machinery And Fluid Engineering, October, Beijing, China, 2000.
Bauer, 1999, Response surface methodology as a sensitivity analysis tool in decision analysis, J Multi-Criteria Decision Anal, 8, 162, 10.1002/(SICI)1099-1360(199905)8:3<162::AID-MCDA241>3.0.CO;2-X
Madsen JI. Design optimization of internal flow devices. Philosophy of doctorate thesis, Aalborg University, 1998.
Greenman RM. 2-D high-lift aerodynamic optimization using neural networks. NASA TM-1998-112233, June 1998. p. 146.
Carpenter, 1993, A comparison of polynomial approximations and artificial neural nets as response surface, Struct optim, 5, 166, 10.1007/BF01743353
Faller WE, Schereck SJ. Unsteady fluid mechanics applications of neural networks. 33rd AIAA Aerospace Sciences Meeting and Exhibit, Reno, Nevada, AIAA 95-0529, 1995.
Fan X, Herbert T, Haritonidis JH. Transition control with neural networks. 33rd AIAA Aerospace Sciences Meeting and Exhibit, Reno, Nevada, AIAA 95-0674, 1995.
Greenman RM, Roth KR. High-lift optimization design using neural network. Proceedings of DETC98, ASME Computers in Engineering Conference, Atlanta, Georgia, DETC98/CIE-6006, 1998.
Greenman RM, Roth KR. Minimizing computational data requirements for multi-element airfoils using neural networks. 37th AIAA Aerospace Sciences Meeting and Exhibit, Reno, Nevada, AIAA 99-0258, 1999.
Huang SY, Miller LS, Steck JE. An exploratory application of neural networks to airfoil design. 34th AIAA Aerospace Sciences Meeting and Exhibit, Reno, Nevada, AIAA 94-0501, 1994.
Illi OJ, Greitzer FL, Kangas LJ, Reeve TJ. An artificial neural network system for diagnosing gas turbine engine fuel faults. 48th Meeting of the Mechanical Failures Prevention Group (MFPG48), 1994.
Kangas LJ, Greitzer FL, Illi OJ. TEDANN: turbine engine diagnostic artificial neural network. The American Defense Preparedness Association (ADPA) National Symposium and Exhibition on Advanced Information Systems and Technology, 1994.
Lavretsky E. Ordered neural networks: formulation, analysis, design and application. 37th AIAA Aerospace Sciences Meeting and Exhibit, Reno, Nevada, AIAA 99-0106, 1999.
Lawrence S, Giles CL, Tsoi AC. What size of neural network gives optimal generalization? Convergence properties of back propagation. Technical Report, UMIACS-TR-96-22 and CS-TR-3617, Institute for Advanced Computer Studies, University of Maryland, 1996.
Lawrence S, Tsoi AC, Giles CL. Correctness, efficiency, extendibility and maintainability in neural network simulation. International Conference on Neural Networks, ICNN 96, June 2–6, Washington DC. New York: IEEE Press, 1996. p. 474–9.
Madavan NK, Rai MM, Huber FW. Neural net-based redesign of transonic turbines for improved unsteady aerodynamic performance. AIAA/SAE/ASME/ASEE 35th Joint Propulsion Conference, AIAA 99-2522, June 20–24, 1999.
Maghami PG, Sparks Jr DW. Design of neural networks for fast convergence and accuracy. 39th AIAA/ASME/ ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Long Beach, California, AIAA 98-1780, 1998.
Maghami, 2000, Design of neural networks for fast convergence and accuracy, IEEE Trans Neural Networks, 11, 113, 10.1109/72.822515
Nikolaidis E, Long L, Ling Q. Neural networks and response surface polynomials for design of vehicle joints. 39th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Long Beach, California, AIAA-98-1777, 1998.
Norgaard M, Jorgenson CC, Ross JC. Neural network prediction of new aircraft design coefficients. NASA TM-112197, May 1997. p. 20.
Rai MM, Madavan NK. Application of artificial neural networks to the design of turbomachinery airfoils. 36th AIAA Aerospace Sciences Meeting and Exhibit, Reno, Nevada, AIAA 2000-0169, 1998.
Rai MM, Madavan NK. Aerodynamic design using neural networks. 7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, St. Louis, AIAA 98-4928, 1998.
Rai MM, Madavan NK. Improving the unsteady aerodynamic performance of transonic turbines using neural networks. 38th AIAA Aerospace Sciences Meeting and Exhibit, Reno, Nevada, AIAA 2000-0169, 2000.
Ross JC, Jorgenson CC, Norgaard M. Reducing wind tunnel data requirements using neural networks. NASA TM-112193, May 1997. p. 15.
Sparks Jr DW, Maghami PG. Neural networks for rapid modeling and analysis. 39th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Long Beach, California, AIAA 98-1779, 1998.
Stepniewski SW, Jorgenson CC. Toward a more robust pruning procedure for MLP networks. NASA/TM-1998-112225, April 1998. p. 16.
Stepniewski SW, Greenman RM, Jorgenson CC, Roth KR. Designing compact feedforward neural models with small training data sets. 38th AIAA Aerospace Sciences Meeting and Exhibit, Reno, Nevada, AIAA 2000-0170, 2000.
Orr MJL. Introduction to radial basis function networks. Centre for Cognitive Science, Edinburgh University, EH 9LW, Scothland, UK, 1996 (http://www.anc.ed.ac.uk/∼mjo/rbf.html).
Orr MJL. Optimising the widths of RBFs. Fifth Brazilian Symposium on Neural Networks, Belo Horizonte, Brazil, 1998.
Orr MJL. Recent advances in radial basis function networks. Technical Report for Institute for Adaptive and Neural Computation Division for Informatics, Edinburgh University, EH 9LW, Scotland, UK, 1999 (http://www.anc.ed.ac.uk/∼mjo/rbf.html).
Papila N, Shyy W, Fitz-Coy N, Haftka RT. Assessment of neural net and polynomial-based techniques for aerodynamic applications. 17th Applied Aerodynamics Conference, Norfolk, VA, AIAA 99-3167, 1999.
Shyy W, Tucker PK, Vaidyanathan R. Response surface and neural network techniques for rocket engine injector optimization. AIAA/SAE/ASME/ASEE 35th Joint Propulsion Conference, AIAA 99-2455, June 20–24, 1999.
Vaidyanathan R, Papila N, Shyy W, Tucker PK, Griffin LW, Fitz-Coy N, Haftka RT. Neural network-based and response surface-based optimization strategies for rocket engine component design. Eighth AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Long Beach, CA, 2000.
JMP version 3. Statistics and graphics guide. SAS Institute Inc., 1998.
Myers, 1995
Rumelhart, 1986
Dernuth H, Beale M. Matlab neural network toolbox. The Math Works Inc, 1992.
Kosko, 1992
Jang, 1997
Unal R, Braun RD, Moore AA, Lepsch RA. Response surface model building using orthogonal arrays for computer experiments. 19th Annual International Conference of the International Society of Parametric Analysis, New Orleans, Louisiana, 1997.
Unal R, Lepsch RA, McMillin ML. Response surface model building and multidisciplinary optimization using D-optimal designs. Seventh AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Paper No. 98-4759, 1998.
Papila M, Haftka RT. Uncertainty and wing structural weight approximations. 40th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, St Louis—MO, AIAA-99-1312, 1999.
Unal R, Braun RD, Moore AA, Lepsch RA. Design optimization on cost basis using Taguchi's orthogonal arrays. Proceedings of the Annual American Society for Engineering Management (ASEM) Conference, 1996.
Unal R, Dean EB. Design for cost and quality: the robust design approach. http://mijuno.larc.nasa.gov/pap/robdes/robdes.html, 1995.
Unal R, Dean EB. Taguchi approach to design optimization for quality and cost: an overview. Proceedings of the International Society of Parametric Analysts 13th Annual Conference, New Orleans, Louisiana, 1991.
Dean EB. Taguchi methods from the perspective of competitive advantage. http://akao.larc.nasa.gov/dfc/tm.html, 1996.
Owen, 1992, Orthogonal arrays for, Statist Sinica, 2, 439
Tucker PK, Shyy W, Sloan JG, An integrated design/optimization methodology for rocket engine injectors. AIAA/SAE/ASME/ASEE 34th Joint Propulsion Conference, AIAA-98-3513, 1998.
Tucker PK, Shyy W, Vaidyanathan R. An optimization-based approach to injector element design. AIAA/SAE/ASME/ASEE 35th Joint Propulsion Conference, Paper No. 2000-3220, 2000.
Calhoon D, Ito J, Kors D. Investigation of gaseous propellant combustion and associated injector-chamber design guidelines. Aerojet Liquid Rocket Company, NASA Cr-121234, Contract NAS3-13379, 1973.
Papila N, Shyy W, Griffin L, Huber F, Tran K. Preliminary design optimization for a supersonic turbine for rocket propulsion. 36th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit, Huntsville, AL, Paper No. 2000-3242, 2000.
Madsen, 2000, Response surface techniques for diffuser shape optimization, AIAA J, 38, 1512, 10.2514/2.1160
Giunta AA, Dudley JM, Narducci R, Grossman B, Haftka RT, Mason WH, Watson LT. Noisy aerodynamic response and smooth approximations in HSCT design. AIAA Paper 94-4376, 1994.