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CPL library - a minimal framework for coupled particle and continuum simulation
File | Description | Size | Format | |
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Coupled_framework.pdf | Accepted version | 4.13 MB | Adobe PDF | View/Open |
Title: | CPL library - a minimal framework for coupled particle and continuum simulation |
Authors: | Smith, E Trevelyan, D Ramos-Fernandez, E Sufian, A O'Sullivan, C Dini, D |
Item Type: | Journal Article |
Abstract: | We present an open-source library for coupling particle codes, such as molecular dynamics (MD) or the discrete element method (DEM), and grid based computational fluid dynamics (CFD). The application is focused on domain decomposition coupling, where a particle and continuum software model different parts of a single simulation domain with information exchange. This focus allows a simple library to be developed, with core mapping and communication handled by just four functions. Emphasis is on scaling on supercomputers, a tested cross-language library, deployment with containers and well-documented simple examples. Building on this core, a template is provided to facilitate the user development of common features for coupling, such as averaging routines and functions to apply constraint forces. The interface code for LAMMPS and OpenFOAM is provided to both include molecular detail in a continuum solver and model fluids flowing through a granular system. Two novel development features are highlighted which will be useful in the development of the next generation of multi-scale software: (i) The division of coupled code into a smaller blocks with testing over a range of processor topologies. (ii) The use of coupled mocking to facilitate coverage of various parts of the code and allow rapid prototyping. These two features aim to help users develop coupled models in a test-driven manner and focus on the physics of the problem instead of just software development. All presented code is open-source with detailed documentation on the dedicated website (cpl-library.org) permitting useful aspects to be evaluated and adopted in other projects. |
Issue Date: | May-2020 |
Date of Acceptance: | 12-Nov-2019 |
URI: | http://hdl.handle.net/10044/1/75244 |
DOI: | 10.1016/j.cpc.2019.107068 |
ISSN: | 0010-4655 |
Publisher: | Elsevier |
Start Page: | 1 |
End Page: | 11 |
Journal / Book Title: | Computer Physics Communications |
Volume: | 250 |
Copyright Statement: | © 2019 Elsevier B.V. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/ |
Sponsor/Funder: | Engineering & Physical Science Research Council (E The Leverhulme Trust Engineering & Physical Science Research Council (EPSRC) |
Funder's Grant Number: | eCSE08-3 RPG-2017-055 EP/N025954/1 |
Keywords: | 01 Mathematical Sciences 02 Physical Sciences 08 Information and Computing Sciences Nuclear & Particles Physics |
Publication Status: | Published online |
Online Publication Date: | 2019-11-25 |
Appears in Collections: | Mechanical Engineering Civil and Environmental Engineering Geotechnics Faculty of Natural Sciences Faculty of Engineering |