Abstract
Perturbation methods based on derivatives can be applied to uncertainties in two particular contexts. First, surrogate models based on Taylor expansion can be built after methods for evaluation of first and second derivatives have been developed. Second, PC-based probabilistic functionals can be minimized after a gradient is computed. Both contexts use derivations which are intrusive. This chapter, after a definition of these approaches, concentrates on Taylor surrogate models or Moment methods.
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References
Belme, A., Martinelli, M., Hascoët, L., Pascual, V., Dervieux, A.: AD-based perturbation methods for uncertainties and errors. Int. J. Eng. Syst. Model. Simul. 2(1–2) (2010)
Ghate, D., Giles, M.B.: Inexpensive Monte Carlo Uncertainty Analysis. Recent Trends in Aerospace Design and Optimization, pp. 203–210. Tata McGraw-Hill, New Delhi (2006)
Hascoët, L., Pascual, V.: TAPENADE 2.1 user’s guide. Technical Report No. 0300, INRIA, September 2004
Miranda, J., Kumar, D., Lacor, C.: Adjoint-based robust optimization using polynomial chaos expansions. In: Papadrakis, M., Papadopoulos, V., Stefanou, G., Plevris, V. (eds.) European Conference on Computational Fluid Dynamics ECCOMAS, Crete Island, Greece, 5–10 June 2016
Pierce, N.A., Giles, M.B.: Adjoint recovery of superconvergent functionals from PDE approximations. SIAM Rev. 42(2), 247–264 (2000)
Putko, M.M., Newman, P.A., Taylor, A.C., Green, L.L.: Approach for uncertainty propagation and robust design in CFD using sensitivity derivatives. Technical Report No. 2528, AIAA (2001)
Shankaran, S., Jameson, A.: Robust optimal control using polynomial chaos and adjoints for systems with uncertain output. Technical Report No. 3069, AIAA. In: 20th AIAA Computational Fluid Dynamics Conference, Honolulu, Hawaii, 27–30 June 2011
Acknowledgements
For the chapters “Introduction to Intrusive Perturbation Methods”, “Algorithmic Differentiation for Second Derivatives”, “Introduction to Intrusive Perturbation Methods and Their Range of Applicability” and “Use of Automatic Differentiation Tools at the Example of TAPENADE”, the author used a lot of material from the publication [1] and the reports delivered in NODESIM project.
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Dervieux, A. (2019). Introduction to Intrusive Perturbation Methods. In: Hirsch, C., Wunsch, D., Szumbarski, J., Łaniewski-Wołłk, Ł., Pons-Prats, J. (eds) Uncertainty Management for Robust Industrial Design in Aeronautics . Notes on Numerical Fluid Mechanics and Multidisciplinary Design, vol 140. Springer, Cham. https://doi.org/10.1007/978-3-319-77767-2_20
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