Uncertainty Propagation and Sensitivity Analysis
Loïc Brevault,
Mathieu Balesdent and
Jérôme Morio ()
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Loïc Brevault: Chemin de la Hunière BP 80100
Mathieu Balesdent: Chemin de la Hunière BP 80100
Jérôme Morio: 2, Avenue Edouard Belin- BP 74025
Chapter Chapter 3 in Aerospace System Analysis and Optimization in Uncertainty, 2020, pp 69-117 from Springer
Abstract:
Abstract The uncertainty propagation consists in determining the impact of the input uncertainties of a simulation code on the outputs of this model. In the MDO context, the simulation code represents, for instance, a set of coupled disciplines and the uncertainty propagation consists in characterizing the multidisciplinary system outputs considering a given number of uncertain input variables modeled with the mathematical formalisms presented in Chapter 2 (see Chapter 6 for uncertainty propagation on a multidisciplinary system). Before considering a multidisciplinary problem in Chapter 6 , a single discipline is considered in this chapter to set the basis of uncertainty propagation. Indeed, due to the presence of uncertainty, the outputs of the discipline are also uncertain variables that need to be characterized in order to be used in a design process (e.g., optimization under uncertainty, see Chapter 5 ).
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-030-39126-3_3
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DOI: 10.1007/978-3-030-39126-3_3
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