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Commun. Comput. Phys., 25 (2019), pp. 1097-1126.
Published online: 2018-12
Cited by
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Numerical schemes for systems of transport equations are commonly constrained by a stability condition of Courant-Friedrichs-Lewy (CFL) type. We consider
a system modeling the steady transport of photons and electrons in the field of radiotherapy. Naive discretizations of such a system are commonly constrained by a
very restrictive CFL condition. This issue is circumvented by constructing an implicit
scheme based on a relaxation approach.
We use an entropy-based moment model, namely the $M_1$ model. Such a system
of equations possesses the non-linear flux terms of a hyperbolic system but no time
derivative. The flux terms are well-defined only under a condition on the unknowns,
called realizability, which corresponds to the positivity of an underlying kinetic distribution function.
The present numerical approach is applicable to non-linear systems which possess no hyperbolic operator, and it preserves the realizability property. However, the
discrete equations are non-linear, and we propose a numerical method to solve such
non-linear systems.
Our approach is tested on academic and practical cases in 1D, 2D, and 3D and it is
shown to require significantly less computational power than reference methods.
Numerical schemes for systems of transport equations are commonly constrained by a stability condition of Courant-Friedrichs-Lewy (CFL) type. We consider
a system modeling the steady transport of photons and electrons in the field of radiotherapy. Naive discretizations of such a system are commonly constrained by a
very restrictive CFL condition. This issue is circumvented by constructing an implicit
scheme based on a relaxation approach.
We use an entropy-based moment model, namely the $M_1$ model. Such a system
of equations possesses the non-linear flux terms of a hyperbolic system but no time
derivative. The flux terms are well-defined only under a condition on the unknowns,
called realizability, which corresponds to the positivity of an underlying kinetic distribution function.
The present numerical approach is applicable to non-linear systems which possess no hyperbolic operator, and it preserves the realizability property. However, the
discrete equations are non-linear, and we propose a numerical method to solve such
non-linear systems.
Our approach is tested on academic and practical cases in 1D, 2D, and 3D and it is
shown to require significantly less computational power than reference methods.