2020
DOI: 10.48550/arxiv.2012.14135
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Stability and asymptotic analysis for instationary gas transport via relative energy estimates

Abstract: We consider the transport of gas in long pipes and pipeline networks for which the dynamics are dominated by friction at the pipe walls. The governing equations can be formulated as an abstract dissipative Hamiltonian system which allows us to derive perturbation bounds by means of relative energy estimates. As particular consequences, we obtain stability with respect to initial conditions and model parameters and quantitative estimates in the high friction limit. Our results are established in detail for the … Show more

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Cited by 1 publication
(4 citation statements)
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“…As predicted by our theoretical results, we observe linear convergence for both density and mass flux uniform for all parameters ε and, in particular, also in the parabolic limit ε = 0. Further note that the errors, and actually also the solutions, are very similar for all values of ε ≤ 0.01, which clearly indicates the asymptotic convergence of solutions with ε ց 0, which was proven in [4] for the continuous problem. 6.2.…”
Section: Numerical Experimentssupporting
confidence: 61%
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“…As predicted by our theoretical results, we observe linear convergence for both density and mass flux uniform for all parameters ε and, in particular, also in the parabolic limit ε = 0. Further note that the errors, and actually also the solutions, are very similar for all values of ε ≤ 0.01, which clearly indicates the asymptotic convergence of solutions with ε ց 0, which was proven in [4] for the continuous problem. 6.2.…”
Section: Numerical Experimentssupporting
confidence: 61%
“…with dissipation functional D(ρ, w) = e∈E ℓ e 0 a e γ e ρ e |w e | 3 ≥ 0, which again follows directly from the particular form of the variational formulation. Based on relative energy estimates, the stability of solutions to (37)-( 41) with respect to perturbations in the initial conditions and the problem parameters has been analysed in [4]. Here we use a similar reasoning to extend our discretization scheme and error estimates to gas networks.…”
Section: H(ρ W) =mentioning
confidence: 99%
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