Invariant-region-preserving WENO schemes for one-dimensional kinematic flow models
Keywords: scheme, finite volume scheme, systems of conservation laws, Invariant region preserving, High-order accuracy, Multispecies kinematic flow models, Weighted essentially non-oscillatory (WENO)
Abstract
Multispecies kinematic flow models are defined by systems of N strongly coupled, nonlinear first-order conservation laws, where the solution is a vector of N partial volume fractions or densities. These models arise in various applications including multiclass vehicular traffic and sedimentation of polydisperse suspensions. The solution vector should take values in a set of physically relevant values (i.e., the components are nonnegative and sum up at most to a given maximum value). It is demonstrated that this set, the so-called invariant region, is preserved by numerical solutions produced by a new family of high-order finite volume numerical schemes adapted to this class of models. To achieve this property, and motivated by [X. Zhang, C.-W. Shu, On maximum-principle-satisfying high order schemes for scalar conservation laws, J. Comput. Phys. 229 (2010) 30913120], a pair of linear scaling limiters is applied to a high-order weighted essentially non-oscillatory (WENO) polynomial reconstruction to obtain invariant-region-preserving (IRP) high-order polynomial reconstructions. These reconstructions are combined with a local Lax-Friedrichs (LLF) or Harten-Lax-van Leer (HLL) numerical flux to obtain a high-order numerical scheme for the system of conservation laws. It is proved that this scheme satisfies an IRP property under a suitable Courant-Friedrichs-Lewy (CFL) condition. The theoretical analysis is corroborated with numerical simulations for models of multiclass traffic flow and polydisperse sedimentation. © 2025 Elsevier Inc.
Más información
| Título según WOS: | Invariant-region-preserving WENO schemes for one-dimensional kinematic flow models |
| Título según SCOPUS: | Invariant-region-preserving WENO schemes for one-dimensional multispecies kinematic flow models |
| Título de la Revista: | Journal of Computational Physics |
| Volumen: | 537 |
| Editorial: | ACADEMIC PRESS INC |
| Fecha de publicación: | 2025 |
| Idioma: | English |
| DOI: |
10.1016/j.jcp.2025.114081 |
| Notas: | ISI, SCOPUS |