Hybrid WENO schemes for polydisperse sedimentation models

Polydisperse sedimentation models can be described by a strongly coupled system of conservation laws for the concentration of each species of solids. Typical solutions for the sedimentation model considered for batch settling in a column include stationary kinematic shocks separating layers of sediment of different composition. This phenomenon, known as segregation of species, is a specially demanding task for numerical simulation due to the need of accurate numerical simulations. Very high-order accurate solutions can be constructed by incorporating characteristic information, available due to the hyperbolicity analysis made in Donat and Mulet [A secular equation for the Jacobian matrix of certain multispecies kinematic flow models, Numer. Methods Partial Differential Equations 26 (2010), pp. 159–175.] But characteristic-based schemes, see Bürger et al. [On the implementation of WENO schemes for a class of polydisperse sedimentation models, J. Comput. Phys. 230 (2011), pp. 2322–2344], are very expensive in terms of computational time, since characteristic information is not readily available, and they are not really necessary in constant areas, where a less complex method can obtain similar results. With this idea in mind, in this paper we develop a hybrid finite difference WENO scheme that only uses the characteristic information of the Jacobian matrix of the system in those regions where singularities exist or are starting to develop, while it uses a component-wise approximation of the scheme in smooth regions. We perform some experiments showing the computational gains that can be achieved by this strategy.

Guillaume Chiavassa, M.C. Martí, P. Mulet. Hybrid WENO schemes for polydisperse sedimentation models. International Journal of Computer Mathematics, Taylor & Francis, 2015, pp.1-17. 〈10.1080/00207160.2015.1075985〉. 〈hal-01297719〉

Journal: International Journal of Computer Mathematics

Date de publication: 01-09-2015

Auteurs:
  • Guillaume Chiavassa
  • M.C. Martí
  • P. Mulet

Digital object identifier (doi): http://dx.doi.org/10.1080/00207160.2015.1075985

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