Comparison of uncertainty propagation/response surface techniques for two aeroelastic systems

Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference

Volumn , Issue , 2009, Pages

  Allen, Matthew S ^a   Camberos, José A ^b  

^a Wisconsin Electric Machines and Power Electronics Consortium   (United States)

^b AIR FORCE RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AEROELASTIC SYSTEM; COMPUTATIONAL EXPENSE; COMPUTATIONAL INVESTIGATION; DESIGN ANALYSIS; DESIGN AND OPTIMIZATION; ENGINEERED SYSTEMS; KRIGING; LATIN HYPERCUBE SAMPLING; LIMITING FACTORS; LOW-DISCREPANCY SEQUENCES; MONTE CARLO SIMULATION; OPEN SOURCES; POLYNOMIAL CHAOS; RELIABILITY METHODS; RESPONSE SURFACE; RESPONSE SURFACE APPROXIMATION; SAMPLING METHOD; SANDIA NATIONAL LABORATORIES; SURFACE TECHNIQUES; TERASCALE; UNCERTAINTY PROPAGATION; UNCERTAINTY QUANTIFICATIONS;

COMBINATORIAL OPTIMIZATION; COMPUTER SIMULATION; DESIGN; MONTE CARLO METHODS; STRUCTURAL DYNAMICS; SURFACE PROPERTIES;

UNCERTAINTY ANALYSIS;

EID: 84855634408     PISSN: 02734508     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (27)

1. G. M. Rebeiz, RF MEMS Theory, Design and Technology: Wiley, 2003.
2. N. Cressie, Statistics of Spatial Data. New York: John Wiley and Sons, 1991.
3. R. Ghanem and J. Red-Horse, "Propagation of probabilistic uncertainty in complex physical systems using a stochastic finite element approach," Los Alamos, NM, USA, 1999, pp. 137-44.
4. S. Hosder, R. W. Walters, and M. Balch, "Efficient sampling for non-intrusive polynomial chaos applications with multiple uncertain input variables," Waikiki, HI, United States, 2007, pp. 2946-2961.
5. S. Hosder, R. W. Walters, and R. Perez, "A non-intrusive polynomial chaos method for uncertainty propagation in CFD simulations," Reno, NV, United States, 2006, pp. 10649-10667.
6. D. R. Millman, P. I. King, R. C. Maple, P. S. Beran, and L. K. Chilton, "Estimating the probability of failure of a nonlinear aeroelastic system," Journal of Aircraft, vol. 43, pp. 504-516, 2006.
7. M. S. Eldred, A. A. Giunta, L. P. Swiler, S. F. Wojtkiewicz Jr., W. E. Hart, J.-P. Watson, D. M. Gay, and S. L. Brown, "DAKOTA, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis. Version 4.1 Users Manual.," Sandia National Laboratories, Albuquerque, NM Sandia Technical Report SAND2001-3796, 2008.
8. R. V. Field Jr, "SAND2005-3223: A decision-theoretic method for surrogate model selection," Sandia National Laboratories, Albuquerque, NM June 2005 2005.
9. A. A. Giunta, J. M. McFarland, L. P. Swiler, and M. S. Eldred, "The promise and peril of uncertainty quantification using response surface approximations," Structure and Infrastructure Engineering, vol. 2, pp. 175-89, 2006.
10. M. D. McKay, R. J. Beckman, and W. J. Conover, "COMPARISON OF THREE METHODS FOR SELECTING VALUES OF INPUT VARIABLES IN THE ANALYSIS OF OUTPUT FROM A COMPUTER CODE," Technometrics, vol. 21, pp. 239-245, 1979.
11. M. D. McKay, R. J. Beckman, and W. J. Conover, "Comparison of three methods for selecting values of input variables in the analysis of output from a computer code," Technometrics, vol. 42, pp. 55-61, 2000.
12. J. Hammersley, "Monte Carlo methods for solving multivariable problems," Proceedings of the New York Academy of Science, vol. 86, pp. 844-874, 1960.
13. L. Kocis and W. J. Whiten, "Computational investigations of low-discrepancy sequences," ACM Transactions on Mathematical Software, vol. 23, pp. 266-94, 1997.
14. V. J. Romero, J. V. Burkardt, M. D. Gunzburger, and J. S. Peterson, "Comparison of pure and "Latinized" centroidal Voronoi tessellation against various other statistical sampling methods," Reliability Engineering and System Safety, vol. 91, pp. 1266-1280, 2006.
15. M. Matsumoto and T. Nishimura," Mersenne Twister: A 623-Dimensionally Equidistributed Uniform Pseudorandom Number Generator," ACM Transactions on Modeling and Computer Simulation,, vol. 8, pp. 3-30, 1998.
16. H. O. Madsen, "First order vs. second order reliability analysis of series structures," Structural Safety, vol. 2, pp. 207-214, 1985.
17. A. Basudhar and S. Missoum, "A Sampling-Based Approach for Probabilistic Design with Random Fields," in 49th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference Schaumburg, IL, 2008.
18. S. Donders, J. Van de Peer, S. Dom, H. Van Der Auweraer, and D. Vandepitte, "Parameter Uncertainty and Variability in the Structural Dynamics Modeling Process," in 22nd International Modal Analysis Conference (IMAC XXII), Dearborne, Michigan, 2004.
19. J. W. Wittwer, M. S. Baker, and L. L. Howell, "Robust design and model validation of nonlinear compliant micromechanisms," Journal of Microelectromechanical Systems, vol. 15, pp. 33-41, 2006.
20. M. Allen, M. Raullin, K. Maute, and D. M. Frangopol, "Reliability- based analysis and design optimization of electrostatically actuated MEMS," Computers and Structures, vol. 82, pp. 1007-1020, 2004.
21. A. Ang and W. Tang, Probability Concepts in Engineering Planning and Design: Vol. 1 - Basic Principles. New York, NY: John Wiley and Sons, Inc., 1975.
22. B. H. K. Lee, Jiang, L.Y., and Y. S. Wongf, "FLUTTER OF AN AIRFOIL WITH A CUBIC NONLINEAR RESTORING FORCE," in A98-25026, AIAA-98-1725, 1998.
23. S. Missoum, P. S. Beran, M. Kurdi, and D. M. McFarland, "Reliability-based design optimization of nonlinear aeroelastic problems," in 49th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference Schaumburg, IL, 2008.
24. R. L. Bisplinghoff, H. Ashley, and R. L. Halfman, Aeroelasticity. New York: Dover, 1996.
25. P. S. Beran, N. S. Khot, F. E. Eastep, R. D. Snyder, and J. V. Zweber, "Numerical analysis of store-induced limit-cycle oscillation," Journal of Aircraft, vol. 41, pp. 1315-1326, 2004.
26. B. W. Silverman, Density Estimation for Statistics and Data Analysis. London: Chapman and Hall, 1986.
27. M. Abramowitz and I. A. Stegun, Handbook of Mathematical Functions, 9th ed. New York: Dover, 1972.