Abstract
The Multidisciplinary Optimization (MDO) Branch at NASA Langley Research Center develops new methods and investigates opportunities for applying optimization to aerospace vehicle design. This paper describes MDO Branch experiences with three applications of optimization under uncertainty: (1) improved impact dynamics for airframes, (2) transonic airfoil optimization for low drag, and (3) coupled aerodynamic and structures optimization of a 3-D wing. For each case, a brief overview of the problem and references to previous publications are provided. The three cases are aerospace examples of the challenges and opportunities presented by optimization under uncertainty. The present paper will illustrate a variety of needs for this technology, summarize promising methods, and uncover fruitful areas for new research.
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References
Anon (2001) MSC.Dytran user’s manual. Version 2002, Santa Ana, CA
Anon (2002) iSIGHT Reference guide. Version 7.0, Engineous Software, Inc., Morrisville, NC
Bischof C, Carle A, Khademi P, Mauer A (1996) Automatic differentiation of FORTRAN. IEEE Comp Sci Eng 3:18–32
Diwekar U (2003) Optimization under uncertainty in chemical engineering. Proc Indian Nat Sci Acad 69:267–284
Giunta A, Eldred M, Swiler L, Trucano T, Wojtkiewicz S (2004) Perspectives on optimization under uncertainty: algorithms and applications. AIAA-2004-4451
Gumbert C, Newman P, Hou G (2002) Effect of random geometric uncertainty on the computational design of a 3-D Flexible Wing. AIAA-2002-2806
Gumbert C, Hou G, Newman P (2003) Reliability assessment of a robust design under uncertainty for a 3-D flexible wing. AIAA-2003-4094
Li W, Padula S (2004) Using high resolution design spaces for aerodynamic shape optimization under uncertainty. NASA TP-2004-213003
Li W, Padula S (2003) Performance trades study for robust airfoil shape optimization. AIAA-2003-3790
Lyle K, Padula S, Stockwell A (2003a) Applications of probabilistic analysis to aircraft impact dynamics. AIAA-2003-1482
Lyle K, Stockwell A, Hardy R (2003b) Applications of probability method to assess crash modeling uncertainty. AHS Forum, Phoenix, AZ, May 6–8
Padula S, Li W (2002) Options for robust airfoil optimization under uncertainty. AIAA-2002-5602
Sahinidis N (2004) Optimization under uncertainty: state–of-the-art and opportunities. Comput Chem Eng 28:971–983
Zang T, Hemsch M, Hilburger M, Kenny S, Luckring J, Maghami P, Padula S, Stroud W (2002) Needs and opportunities for uncertainty-based multidisciplinary design methods for aerospace vehicles. NASA-TM-2002-211462
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Padula, S.L., Gumbert, C.R. & Li, W. Aerospace applications of optimization under uncertainty. Optim Eng 7, 317–328 (2006). https://doi.org/10.1007/s11081-006-9974-7
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DOI: https://doi.org/10.1007/s11081-006-9974-7