Intrusive Polynomial Chaos Methods for Forward Uncertainty Propagation

Bert Debusschere ()
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Bert Debusschere: Sandia National Laboratories, Mechanical Engineering

Chapter 17 in Handbook of Uncertainty Quantification, 2017, pp 617-636 from Springer

Abstract: Abstract Polynomial chaos (PC)-based intrusive methods for uncertainty quantification reformulate the original deterministic model equations to obtain a system of equations for the PC coefficients of the model outputs. This system of equations is larger than the original model equations, but solving it once yields the uncertainty information for all quantities in the model. This chapter gives an overview of the literature on intrusive methods, outlines the approach on a general level, and then applies it to a system of three ordinary differential equations that model a surface reaction system. Common challenges and opportunities for intrusive methods are also highlighted.

Keywords: Galerkin projection; Intrusive spectral projection; Polynomial chaos (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-12385-1_19

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DOI: 10.1007/978-3-319-12385-1_19

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