4.7 Article

A diffuse interface model of reactive-fluids and solid-dynamics

Journal

COMPUTERS & STRUCTURES
Volume 254, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compstruc.2021.106578

Keywords

Multi-physics; Multi-phase; Reactive fluids; Elastoplastic solids; Interface sharpening; Diffuse interface

Funding

  1. UK Engineering and Physical Sciences Research Council (EPSRC) [EP/L015552/1]
  2. AWE PLC

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This article presents a multi-physics methodology for simulating the nonlinear interaction of multi-phase reactive fluids and elastoplastic solids. The governing equations for solid and reactive multiphase fluid mechanics are solved simultaneously on the same computational grid, with interface-steepening technique maintaining sharp interfaces. The implemented algorithms show good agreement with experiments and improved numerical performance compared to existing Eulerian methods.
This article presents a multi-physics methodology for the numerical simulation of physical systems that involve the non-linear interaction of multi-phase reactive fluids and elastoplastic solids, inducing high strain-rates and high deformations. Each state of matter is governed by a single system of non-linear, inhomogeneous partial differential equations, which are solved simultaneously on the same computational grid, and do not require special treatment of immersed boundaries. To this end, the governing equations for solid and reactive multiphase fluid mechanics are written in the same mathematical form and are discretised on a regular Cartesian mesh. All phase and material boundaries are treated as diffuse interfaces. An interface-steepening technique is employed at material boundaries to keep interfaces sharp whilst maintaining the conservation properties of the system. These algorithms are implemented in a highly-parallelised hierarchical adaptive mesh refinement platform, and are verified and validated using numerical and experimental benchmarks. Results indicate very good agreement with experiment and an improvement of numerical performance compared to certain existing Eulerian methods, without loss of conservation. Crown Copyright (c) 2021 Published by Elsevier Ltd. All rights reserved.

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