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Journal Articles Numerical Methods for Partial Differential Equations Year : 2020

A modified sensitivity equation method for the Euler equations in presence of shocks

Abstract

The Continuous Sensitivity Equation (CSE) method allows to quantify how changes in the input of a Partial Differential Equation (PDE) model affect the outputs, by solving additional PDEs ob- tained by differentiating the model. However, this method cannot be used directly in the framework of hyperbolic PDE systems with discontinuous solution, because it yields Dirac delta functions in the sensitivity solution at the location of state discontinuities. This difficulty is well known from theoret- ical viewpoint, but only a few works can be found in the literature regarding the possible numerical treatment. Therefore, we investigate in this study how classical numerical schemes for compressible Euler equations can be modified to account for shocks when computing the sensitivity solution. In particular, we propose the introduction of a source term, that allows to remove the spikes associated to the Dirac delta functions in the numerical solution. Numerical studies exhibit a strong impact of the numerical diffusion on the accuracy of this strategy. Therefore, we propose an anti-diffusive numerical scheme coupled with the approximate Riemann solver of Roe for the state problem. For the sensitivity problem, two different numerical schemes are implemented and compared: one which takes into account the contact wave and another that neglects it. The effects of the numerical diffu- sion on the convergence of the schemes with respect to the grid are discussed. Finally, an application to uncertainty propagation is investigated and the different numerical schemes are compared.
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Dates and versions

hal-01817815 , version 1 (18-06-2018)
hal-01817815 , version 2 (09-12-2019)
hal-01817815 , version 3 (11-12-2019)

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Cite

Camilla Fiorini, Christophe Chalons, Régis Duvigneau. A modified sensitivity equation method for the Euler equations in presence of shocks. Numerical Methods for Partial Differential Equations, 2020, 36 (4), ⟨10.1002/num.22454⟩. ⟨hal-01817815v3⟩
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