General non-linear fragmentation with discontinuous Galerkin methods

Author:

Lombart Maxime12ORCID,Bréhier Charles-Edouard3ORCID,Hutchison Mark45ORCID,Lee Yueh-Ning1ORCID

Affiliation:

1. Department of Earth Sciences, National Taiwan Normal University , Taipei 11677 , Taiwan

2. Université Paris Cité, Université Paris-Saclay , CEA, AIM, F-91191, Gif-sur-Yvette , France

3. Université de Pau et des Pays de l’Adour , E2S UPPA, CNRS, LMAP, 64013 Pau , France

4. Universitäts-Sternwarte, Ludwig-Maximilians-Universität München , Scheinerstr. 1, D-81679 München , Germany

5. Hochschule für angewandte Wissenschaften München , Lothstraße 34, D-80335 München , Germany

Abstract

ABSTRACT Dust grains play a significant role in several astrophysical processes, including gas/dust dynamics, chemical reactions, and radiative transfer. Replenishment of small-grain populations is mainly governed by fragmentation during pair-wise collisions between grains. The wide spectrum of fragmentation outcomes, from complete disruption to erosion and/or mass transfer, can be modelled by the general non-linear fragmentation equation. Efficiently solving this equation is crucial for an accurate treatment of the dust fragmentation in numerical modelling. However, similar to dust coagulation, numerical errors in current fragmentation algorithms employed in astrophysics are dominated by the numerical overdiffusion problem – particularly in three-dimensional hydrodynamic simulations where the discrete resolution of the mass-density distribution tends to be highly limited. With this in mind, we have derived the first conservative form of the general non-linear fragmentation with a mass flux highlighting the mass transfer phenomenon. Then, to address cases of limited mass density resolution, we applied a high-order discontinuous Galerkin scheme to efficiently solve the conservative fragmentation equation with a reduced number of dust bins. An accuracy of $0.1{\!-\!}1~{{\ \rm per\ cent}}$ is reached with 20 dust bins spanning a mass range of 9 orders of magnitude.

Funder

European Research Council

National Science and Technology Council

Deutsche Forschungsgemeinschaft

Publisher

Oxford University Press (OUP)

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