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- W2891915094 abstract "Generalized polynomial chaos (gPC) method has been extensively used in uncertainty quantification problems where equations contain random variables. For gPC to achieve high accuracy, PDE solutions need to have high regularity in the random space, but this is what hyperbolic type problems cannot provide. We provide a counter-argument in this paper, and show that even though the solution profile develops singularities in the random space, which destroys the spectral accuracy of gPC, the physical quantities (such as the shock emergence time, the shock location, and the shock strength) are all smooth functions of the uncertainties coming from both initial data and the wave speed: with proper shifting, the solution's polynomial interpolation approximates the real solution accurately, and the error decays as the order of the polynomial increases. Therefore this work provides a new perspective to quantify uncertainties and significantly improves the accuracy of the gPC method with a slight reformulation. We use the Burgers' equation as an example for the thorough analysis, and the analysis could be extended to general conservation laws with convex fluxes." @default.
- W2891915094 created "2018-09-27" @default.
- W2891915094 creator A5009937786 @default.
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- W2891915094 date "2017-08-14" @default.
- W2891915094 modified "2023-09-24" @default.
- W2891915094 title "Sensitivity analysis of Burgers' equation with shocks" @default.
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- W2891915094 doi "https://doi.org/10.48550/arxiv.1708.04332" @default.
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