2017
DOI: 10.1016/j.jcp.2017.07.055
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A fast numerical scheme for the Godunov–Peshkov–Romenski model of continuum mechanics

Abstract: A new second-order numerical scheme based on an operator splitting is proposed for the Godunov-Peshkov-Romenski model of continuum mechanics. The homogeneous part of the system is solved with a finite volume method based on a WENO reconstruction, and the temporal ODEs are solved using some analytic results presented here. Whilst it is not possible to attain arbitrary-order accuracy with this scheme (as with ADER-WENO schemes used previously), the attainable order of accuracy is often sufficient, and solutions … Show more

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Cited by 8 publications
(13 citation statements)
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“…Under circumstances in which the flow is compressed heavily in one direction relative to the other directions, it should be noted that the linearization assumption (53) used to derive the approximate analytical solver may break down. As discussed in Jackson [14], this is due to the fact that one of the singular values of the distortion tensor will be much larger than the others, and the mean of the squares of the singular values will be distant to the geometric mean. The subsequent linearization of the ODE governing the mean of the singular values will then fail.…”
Section: Discussionmentioning
confidence: 99%
“…Under circumstances in which the flow is compressed heavily in one direction relative to the other directions, it should be noted that the linearization assumption (53) used to derive the approximate analytical solver may break down. As discussed in Jackson [14], this is due to the fact that one of the singular values of the distortion tensor will be much larger than the others, and the mean of the squares of the singular values will be distant to the geometric mean. The subsequent linearization of the ODE governing the mean of the singular values will then fail.…”
Section: Discussionmentioning
confidence: 99%
“…In our formulation, these variables act through the source systems for distortion and heat conduction. As a result, the assumptions of Jackson's semi-analytic ODE solvers [27] will no longer hold in the current case. We work around this by using the odeint library of numerical ODE solvers from Boost 1.71.0.0 for this problem.…”
Section: Viscous Heating-induced Detonationmentioning
confidence: 99%
“…The reactive ODE is solved using an explicit fourth order Runge-Kutta method. The distortion and thermal impulse equations (70b), (70c) are solved using the semi-analytic ODE solver of Jackson [27,28].…”
Section: Ode Solvermentioning
confidence: 99%
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“…These convergence criteria are chosen so that the variables required to be less than T OL are dimensionless. At every iteration, (81b) is solved using the ODE solvers presented in [32,33].…”
Section: Boundary Conditionsmentioning
confidence: 99%