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A hybrid discrete bubble-lattice Boltzmann–discrete element model for gas-charged sediments

Min Wang, Yuntian Feng Orcid Logo, Yong Wang, T. M. Qu, Wei He

Computational Particle Mechanics, Volume: 7, Issue: 3, Pages: 509 - 522

Swansea University Author: Yuntian Feng Orcid Logo

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DOI (Published version): 10.1007/s40571-019-00276-7

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This paper presents a hybrid discrete bubble-lattice Boltzmann–discrete element modelling framework for simulating gas-charged sediments, especially in the seabed. A discrete bubble model proposed in chemical engineering is adapted in the coupled discrete element/lattice Boltzmann method to model th...

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Published in: Computational Particle Mechanics
ISSN: 2196-4378 2196-4386
Published: Springer Science and Business Media LLC 2020
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URI: https://cronfa.swan.ac.uk/Record/cronfa51394
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spelling 2021-09-01T20:15:29.1812171 v2 51394 2019-08-14 A hybrid discrete bubble-lattice Boltzmann–discrete element model for gas-charged sediments d66794f9c1357969a5badf654f960275 0000-0002-6396-8698 Yuntian Feng Yuntian Feng true false 2019-08-14 CIVL This paper presents a hybrid discrete bubble-lattice Boltzmann–discrete element modelling framework for simulating gas-charged sediments, especially in the seabed. A discrete bubble model proposed in chemical engineering is adapted in the coupled discrete element/lattice Boltzmann method to model the migration of gas bubbles in saturated sediments involving interactions between gas bubbles and fluid/solid phases. Surface tension is introduced into the discrete bubble model in this work, so that it can handle the complex gas–fluid–solid interface. The lattice Boltzmann and discrete element methods are, respectively, employed to simulate fluid flows and mechanical behaviours of sediments. A velocity interpolation-based immerse boundary method is utilised to resolve the coupling between the fluid flow and the solid/gas phase. The proposed technique is preliminarily validated using simulations of bubble migration in fluids, which is followed by high-resolution investigations of the transport of a gas bubble in seabed sediments. It is demonstrated that this hybrid method can reproduce, to a certain degree, the characters of bubbles moving in seabed sediment tests. Journal Article Computational Particle Mechanics 7 3 509 522 Springer Science and Business Media LLC 2196-4378 2196-4386 Discrete bubble model, Fluid–solid–bubble interaction, Lattice Boltzmann method, Discrete element method, Bond model, Immersed boundary method 1 5 2020 2020-05-01 10.1007/s40571-019-00276-7 http://dx.doi.org/10.1007/s40571-019-00276-7 COLLEGE NANME Civil Engineering COLLEGE CODE CIVL Swansea University 2021-09-01T20:15:29.1812171 2019-08-14T13:35:39.6173593 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering Min Wang 1 Yuntian Feng 0000-0002-6396-8698 2 Yong Wang 3 T. M. Qu 4 Wei He 5 0051394-14082019133701.pdf wang2019(3).pdf 2019-08-14T13:37:01.1070000 Output 2454693 application/pdf Accepted Manuscript true 2020-08-18T00:00:00.0000000 false eng
title A hybrid discrete bubble-lattice Boltzmann–discrete element model for gas-charged sediments
spellingShingle A hybrid discrete bubble-lattice Boltzmann–discrete element model for gas-charged sediments
Yuntian Feng
title_short A hybrid discrete bubble-lattice Boltzmann–discrete element model for gas-charged sediments
title_full A hybrid discrete bubble-lattice Boltzmann–discrete element model for gas-charged sediments
title_fullStr A hybrid discrete bubble-lattice Boltzmann–discrete element model for gas-charged sediments
title_full_unstemmed A hybrid discrete bubble-lattice Boltzmann–discrete element model for gas-charged sediments
title_sort A hybrid discrete bubble-lattice Boltzmann–discrete element model for gas-charged sediments
author_id_str_mv d66794f9c1357969a5badf654f960275
author_id_fullname_str_mv d66794f9c1357969a5badf654f960275_***_Yuntian Feng
author Yuntian Feng
author2 Min Wang
Yuntian Feng
Yong Wang
T. M. Qu
Wei He
format Journal article
container_title Computational Particle Mechanics
container_volume 7
container_issue 3
container_start_page 509
publishDate 2020
institution Swansea University
issn 2196-4378
2196-4386
doi_str_mv 10.1007/s40571-019-00276-7
publisher Springer Science and Business Media LLC
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering
url http://dx.doi.org/10.1007/s40571-019-00276-7
document_store_str 1
active_str 0
description This paper presents a hybrid discrete bubble-lattice Boltzmann–discrete element modelling framework for simulating gas-charged sediments, especially in the seabed. A discrete bubble model proposed in chemical engineering is adapted in the coupled discrete element/lattice Boltzmann method to model the migration of gas bubbles in saturated sediments involving interactions between gas bubbles and fluid/solid phases. Surface tension is introduced into the discrete bubble model in this work, so that it can handle the complex gas–fluid–solid interface. The lattice Boltzmann and discrete element methods are, respectively, employed to simulate fluid flows and mechanical behaviours of sediments. A velocity interpolation-based immerse boundary method is utilised to resolve the coupling between the fluid flow and the solid/gas phase. The proposed technique is preliminarily validated using simulations of bubble migration in fluids, which is followed by high-resolution investigations of the transport of a gas bubble in seabed sediments. It is demonstrated that this hybrid method can reproduce, to a certain degree, the characters of bubbles moving in seabed sediment tests.
published_date 2020-05-01T04:03:15Z
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score 11.036706

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